diff --git a/examples/README.md b/examples/README.md
index 89adcf8..7975e1c 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -1,5 +1,28 @@
 [[Click For Russian version]](README_RU.md)
 
+## Quick Start
+
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/ChrisLisbon/TorchCNNBuilder.git
+   cd TorchCNNBuilder
+   
+2. Install in development mode (recommended):
+    ```bash
+   pip install -e .
+
+**This will**: install all required dependencies, make the package available system-wide, allow 
+you to modify code and see changes immediately.
+
+3. For just running examples (without development):
+    ```bash
+    pip install numpy torch matplotlib jupyter
+   
+4. ⚠️ Note: The examples use relative paths for data loading. 
+To avoid file not found errors, always launch Jupyter from the repository root directory:
+    ```bash
+    jupyter notebook examples/example_name.ipynb
+
 # Usage examples
 
 Relevant usage examples can be found in this directory. The API examples of each submodule are located in the corresponding `ipynb` file:
diff --git a/examples/README_RU.md b/examples/README_RU.md
index 99d61b1..b2f302d 100644
--- a/examples/README_RU.md
+++ b/examples/README_RU.md
@@ -1,5 +1,29 @@
 # Примеры использования
 
+## Быстрый старт
+
+1. Клонируйте репозиторий:
+   ```bash
+   git clone https://github.com/ChrisLisbon/TorchCNNBuilder.git
+   cd TorchCNNBuilder
+   
+2. Установка в режиме разработки (рекомендуется):
+    ```bash
+   pip install -e .
+
+**Это позволит**: установить все необходимые зависимости, сделать пакет доступным системе, 
+видеть изменения в коде без переустановки.
+
+3. Только для запуска примеров (без разработки):
+
+    ```bash
+    pip install numpy torch matplotlib jupyter
+   
+4. ⚠️ Важно! Примеры используют относительные пути к данным. 
+Всегда запускайте ноутбуки из корня репозитория:
+    ```bash
+    jupyter notebook examples/имя_примера.ipynb
+
 ## Примеры работы с компонентами библиотеки
 Примеры обращения в API для каждого подмодуля расположены в соответствующих файлах `ipynb`:
 - [`torchcnnbuilder`](usage_examples/main_examples_ru.ipynb) - основные переменные и мат. аппартат сверток
diff --git a/examples/anime_example.ipynb b/examples/anime_example.ipynb
index 3b97312..6e39c42 100644
--- a/examples/anime_example.ipynb
+++ b/examples/anime_example.ipynb
@@ -9,7 +9,6 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
    "source": [
     "!pip install numpy\n",
@@ -17,7 +16,8 @@
     "!pip install matplotlib \n",
     "!pip install pillow"
    ],
-   "id": "9a0fa490fe399727"
+   "id": "9a0fa490fe399727",
+   "outputs": []
   },
   {
    "metadata": {},
diff --git a/examples/anime_example_ru.ipynb b/examples/anime_example_ru.ipynb
index 914fe2e..6295778 100644
--- a/examples/anime_example_ru.ipynb
+++ b/examples/anime_example_ru.ipynb
@@ -47,8 +47,8 @@
    "id": "e6a3d5d05db5d1ab",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-07-01T13:28:21.510394Z",
-     "start_time": "2025-07-01T13:28:21.372396Z"
+     "end_time": "2025-08-07T15:26:29.602405Z",
+     "start_time": "2025-08-07T15:26:29.491405Z"
     }
    },
    "source": [
@@ -94,8 +94,8 @@
    "id": "61165453374fda73",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-07-01T13:28:44.614031Z",
-     "start_time": "2025-07-01T13:28:44.113957Z"
+     "end_time": "2025-08-07T15:26:30.165543Z",
+     "start_time": "2025-08-07T15:26:29.743406Z"
     }
    },
    "source": [
@@ -148,8 +148,8 @@
    "id": "4fdf405ba3465604",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-07-01T13:30:29.858767Z",
-     "start_time": "2025-07-01T13:30:28.296769Z"
+     "end_time": "2025-08-07T15:26:32.311631Z",
+     "start_time": "2025-08-07T15:26:31.071571Z"
     }
    },
    "source": [
@@ -173,8 +173,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-07-01T13:31:15.123617Z",
-     "start_time": "2025-07-01T13:31:14.942092Z"
+     "end_time": "2025-08-07T15:26:32.483645Z",
+     "start_time": "2025-08-07T15:26:32.312634Z"
     }
    },
    "cell_type": "code",
@@ -203,8 +203,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T14:13:30.181383Z",
-     "start_time": "2024-10-14T14:13:29.281678Z"
+     "end_time": "2025-08-07T15:26:34.038192Z",
+     "start_time": "2025-08-07T15:26:33.359231Z"
     }
    },
    "cell_type": "code",
@@ -222,8 +222,8 @@
     "epochs_list = []"
    ],
    "id": "5bb4b425f1a33233",
-   "execution_count": 5,
-   "outputs": []
+   "outputs": [],
+   "execution_count": 5
   },
   {
    "metadata": {},
@@ -234,8 +234,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T14:25:59.822849Z",
-     "start_time": "2024-10-14T14:19:12.883444Z"
+     "end_time": "2025-08-07T15:33:42.113459Z",
+     "start_time": "2025-08-07T15:26:35.837073Z"
     }
    },
    "cell_type": "code",
@@ -296,8 +296,30 @@
     "print(f'time spent: {end-start}')"
    ],
    "id": "1075054a695b6ee0",
-   "execution_count": 10,
-   "outputs": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "  0%|          | 0/100000 [00:00<?, ?it/s]"
+      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "9ff4f1a53bf04bb1bf3beec9393477de"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "time spent: 426.2163863182068\n"
+     ]
+    }
+   ],
+   "execution_count": 6
   },
   {
    "metadata": {},
diff --git a/examples/moving_mnist_example.ipynb b/examples/moving_mnist_example.ipynb
index cf996b7..3fa0ac1 100644
--- a/examples/moving_mnist_example.ipynb
+++ b/examples/moving_mnist_example.ipynb
@@ -27,14 +27,62 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "#### MovingMnist dataset is benchmark for video forecasting task. It is presented by 1000 samples with 20 frames series with numbers which are moving on different trajectories. It can be loaded by [official link](https://www.cs.toronto.edu/~nitish/unsupervised_video/).",
+   "source": "#### MovingMnist dataset is benchmark for video forecasting task. It is presented by 1000 samples with 20 frames series with numbers which are moving on different trajectories. It can be loaded by [official link](https://www.cs.toronto.edu/~nitish/unsupervised_video/) or with code below.",
    "id": "3f77501b70f4d95b"
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T09:56:21.168973Z",
-     "start_time": "2024-10-14T09:56:16.776957Z"
+     "end_time": "2025-08-07T14:01:05.755920Z",
+     "start_time": "2025-08-07T13:59:03.246329Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import os\n",
+    "import urllib.request\n",
+    "import numpy as np\n",
+    "\n",
+    "# Create data directory if it doesn't exist\n",
+    "os.makedirs('data', exist_ok=True)\n",
+    "\n",
+    "# Download the Moving MNIST dataset\n",
+    "url = 'https://www.cs.toronto.edu/~nitish/unsupervised_video/mnist_test_seq.npy'\n",
+    "filename = 'data/moving_mnist.npy'\n",
+    "\n",
+    "if not os.path.exists(filename):\n",
+    "    print(\"Downloading Moving MNIST dataset...\")\n",
+    "    urllib.request.urlretrieve(url, filename)\n",
+    "    print(\"Download complete!\")\n",
+    "else:\n",
+    "    print(\"Dataset already exists, skipping download.\")\n",
+    "\n",
+    "# Load the data to verify it works\n",
+    "try:\n",
+    "    data = np.load(filename)\n",
+    "    print(f\"Dataset loaded successfully! Shape: {data.shape}\")\n",
+    "except Exception as e:\n",
+    "    print(f\"Error loading dataset: {e}\")"
+   ],
+   "id": "2d5cbe608bd88738",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading Moving MNIST dataset...\n",
+      "Download complete!\n",
+      "Dataset loaded successfully! Shape: (20, 10000, 64, 64)\n"
+     ]
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T14:02:36.638050Z",
+     "start_time": "2025-08-07T14:02:33.195270Z"
     }
    },
    "cell_type": "code",
@@ -47,8 +95,8 @@
     "from torchcnnbuilder.models import ForecasterBase"
    ],
    "id": "31ed0de82a611c0e",
-   "execution_count": 1,
-   "outputs": []
+   "outputs": [],
+   "execution_count": 4
   },
   {
    "metadata": {},
@@ -63,8 +111,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T09:56:23.661012Z",
-     "start_time": "2024-10-14T09:56:21.169973Z"
+     "end_time": "2025-08-07T14:02:40.601889Z",
+     "start_time": "2025-08-07T14:02:38.370207Z"
     }
    },
    "cell_type": "code",
@@ -82,8 +130,8 @@
     "train_dataset = TensorDataset(tensor(train_features), tensor(train_target))"
    ],
    "id": "952753315f5e41c9",
-   "execution_count": 2,
-   "outputs": []
+   "outputs": [],
+   "execution_count": 5
   },
   {
    "metadata": {},
@@ -94,8 +142,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T09:56:23.898013Z",
-     "start_time": "2024-10-14T09:56:23.662013Z"
+     "end_time": "2025-08-07T14:02:42.885612Z",
+     "start_time": "2025-08-07T14:02:42.681446Z"
     }
    },
    "cell_type": "code",
@@ -109,8 +157,16 @@
     "model = model.to(device)"
    ],
    "id": "28b3c7ce2bf1a6f6",
-   "execution_count": 3,
-   "outputs": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calculation on device: cuda\n"
+     ]
+    }
+   ],
+   "execution_count": 6
   },
   {
    "metadata": {},
@@ -121,8 +177,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-14T09:56:24.859588Z",
-     "start_time": "2024-10-14T09:56:23.899012Z"
+     "end_time": "2025-08-07T14:02:47.637744Z",
+     "start_time": "2025-08-07T14:02:46.822216Z"
     }
    },
    "cell_type": "code",
@@ -134,8 +190,8 @@
     "criterion = nn.L1Loss()"
    ],
    "id": "865f21b5b683f464",
-   "execution_count": 4,
-   "outputs": []
+   "outputs": [],
+   "execution_count": 7
   },
   {
    "metadata": {},
@@ -145,9 +201,11 @@
   },
   {
    "metadata": {
+    "jupyter": {
+     "is_executing": true
+    },
     "ExecuteTime": {
-     "end_time": "2024-10-14T11:20:10.342587Z",
-     "start_time": "2024-10-14T09:56:24.861554Z"
+     "start_time": "2025-08-07T14:02:49.237682Z"
     }
    },
    "cell_type": "code",
@@ -186,8 +244,23 @@
     "torch.save(model.state_dict(), f'mnist_{epochs}.pt')"
    ],
    "id": "aeddbfcb6a8d497c",
-   "execution_count": 5,
-   "outputs": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Epoch:   0%|          | 0/2000 [00:00<?, ?it/s]"
+      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "8908c8df85534d1f8b1520e000877b85"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -197,13 +270,11 @@
   },
   {
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-10-14T11:20:10.517588Z",
-     "start_time": "2024-10-14T11:20:10.343587Z"
+    "jupyter": {
+     "is_executing": true
     }
    },
    "cell_type": "code",
-   "execution_count": 6,
    "source": [
     "plt.plot(epoches, losses)\n",
     "plt.grid()\n",
@@ -213,7 +284,8 @@
     "plt.show()"
    ],
    "id": "158e21693348b808",
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -226,9 +298,8 @@
   },
   {
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-10-14T11:59:32.768505Z",
-     "start_time": "2024-10-14T11:59:32.761515Z"
+    "jupyter": {
+     "is_executing": true
     }
    },
    "cell_type": "code",
@@ -240,8 +311,8 @@
     "print('Data loaded')"
    ],
    "id": "7d5acbcc242f9257",
-   "execution_count": 9,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -251,9 +322,8 @@
   },
   {
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-10-14T12:22:38.919526Z",
-     "start_time": "2024-10-14T12:22:35.939867Z"
+    "jupyter": {
+     "is_executing": true
     }
    },
    "cell_type": "code",
@@ -268,8 +338,8 @@
     "print(f'Mean MAE for test set = {np.mean(l1_errors)}')  "
    ],
    "id": "7ea14812103a9542",
-   "execution_count": 23,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -279,9 +349,8 @@
   },
   {
    "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-10-14T12:23:16.961107Z",
-     "start_time": "2024-10-14T12:23:15.561655Z"
+    "jupyter": {
+     "is_executing": true
     }
    },
    "cell_type": "code",
@@ -298,8 +367,8 @@
     "    plt.show()"
    ],
    "id": "e18517cdad9b8f27",
-   "execution_count": 24,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
diff --git a/examples/moving_mnist_example_ru.ipynb b/examples/moving_mnist_example_ru.ipynb
index df4f346..e2a8f10 100644
--- a/examples/moving_mnist_example_ru.ipynb
+++ b/examples/moving_mnist_example_ru.ipynb
@@ -9,7 +9,6 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
    "source": [
     "!pip install numpy\n",
@@ -17,7 +16,8 @@
     "!pip install matplotlib \n",
     "!pip install pytorch_msssim"
    ],
-   "id": "4cdbbb653ab416f3"
+   "id": "4cdbbb653ab416f3",
+   "outputs": []
   },
   {
    "metadata": {},
@@ -28,9 +28,42 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "#### Набор данных MovingMnist является классическим для задачи прогнозирования видео. Он представлен 1000 выборками с 20 сериями кадров с числами, движущимися по разным траекториям. Его можно загрузить по [официальной ссылке](https://www.cs.toronto.edu/~nitish/unsupervised_video/).",
+   "source": "#### Набор данных MovingMnist является классическим для задачи прогнозирования видео. Он представлен 1000 выборками с 20 сериями кадров с числами, движущимися по разным траекториям. Его можно загрузить по [официальной ссылке](https://www.cs.toronto.edu/~nitish/unsupervised_video/) или используя код следующей ячейки.",
    "id": "3f77501b70f4d95b"
   },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "import os\n",
+    "import urllib.request\n",
+    "import numpy as np\n",
+    "\n",
+    "# Создаём директорию для данных, если её нет\n",
+    "os.makedirs('data', exist_ok=True)\n",
+    "\n",
+    "# Загружаем датасет Moving MNIST\n",
+    "url = 'https://www.cs.toronto.edu/~nitish/unsupervised_video/mnist_test_seq.npy'\n",
+    "filename = 'data/moving_mnist.npy'\n",
+    "\n",
+    "if not os.path.exists(filename):\n",
+    "    print(\"Загрузка датасета Moving MNIST...\")\n",
+    "    urllib.request.urlretrieve(url, filename)\n",
+    "    print(\"Загрузка завершена!\")\n",
+    "else:\n",
+    "    print(\"Датасет уже существует, загрузка не требуется.\")\n",
+    "\n",
+    "# Загружаем данные для проверки\n",
+    "try:\n",
+    "    data = np.load(filename)\n",
+    "    print(f\"Датасет успешно загружен! Размерность: {data.shape}\")\n",
+    "except Exception as e:\n",
+    "    print(f\"Ошибка при загрузке датасета: {e}\")"
+   ],
+   "id": "bfbf130874b0a803"
+  },
   {
    "metadata": {
     "ExecuteTime": {
@@ -311,10 +344,10 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
    "source": "",
-   "id": "eb6e0b2e0a5a05ae"
+   "id": "eb6e0b2e0a5a05ae",
+   "outputs": []
   }
  ],
  "metadata": {
diff --git a/examples/synthetic_noise_examples/best_train.py b/examples/synthetic_noise_examples/best_train.py
index 8715c8e..fa0861f 100644
--- a/examples/synthetic_noise_examples/best_train.py
+++ b/examples/synthetic_noise_examples/best_train.py
@@ -128,7 +128,7 @@
 # iterations
 # ------------------------------------
 # logging
-exp_path = './best model/'
+exp_path = 'best model/'
 log_print(logger, f'start {exp_path}')
 if not os.path.exists(exp_path):
     os.makedirs(exp_path)
diff --git a/examples/synthetic_noise_examples/grid_train.py b/examples/synthetic_noise_examples/grid_train.py
index 6d21c28..5c1df91 100644
--- a/examples/synthetic_noise_examples/grid_train.py
+++ b/examples/synthetic_noise_examples/grid_train.py
@@ -79,15 +79,19 @@
 batch_size = 50
 epochs = 2_000
 
-# iterations_path = './iterations - batchnorm L1 loss'
-# iterations_path = './iterations - batchnorm SSIM loss'
-# iterations_path = './iterations - batchnorm BCE loss'
+"""
+    Each case can be run with future variables:
 
-# iterations_path = './iterations - none L1 loss'
-# iterations_path = './iterations - none SSIM loss'
-# iterations_path = './iterations - none BCE loss'
+     iterations_path = 'iterations - batchnorm L1 loss'
+     iterations_path = 'iterations - batchnorm SSIM loss'
+     iterations_path = 'iterations - batchnorm BCE loss'
+    
+     iterations_path = 'iterations - none L1 loss'
+     iterations_path = 'iterations - none SSIM loss'
+     iterations_path = 'iterations - none BCE loss'
+"""
 
-iterations_path = './iterations - batchnorm SSIM + BCE loss'
+iterations_path = 'iterations - batchnorm SSIM + BCE loss'
 
 model_type = {
     'batchnorm': 'batchnorm',
@@ -95,9 +99,12 @@
 }
 
 loss_type = {
-    # 'L1 loss': nn.L1Loss(),
-    # 'SSIM loss': lambda x, y: 1 - ssim(x, y, data_range=1, size_average=True),
-    # 'BCE loss': nn.BCELoss(),
+    """
+    Each type of loss can be tested with keys:
+         'L1 loss': nn.L1Loss(),
+         'SSIM loss': lambda x, y: 1 - ssim(x, y, data_range=1, size_average=True),
+         'BCE loss': nn.BCELoss(),
+    """
     'SSIM + BCE loss': lambda x, y: 0.6 * nn.functional.binary_cross_entropy(x, y) + 0.4 * (1 - ssim(x, y, data_range=1, size_average=True)),
 }
 
diff --git a/examples/synthetic_noise_examples/iterations/iterations - batchnorm BCE loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - batchnorm BCE loss/results.csv
new file mode 100644
index 0000000..ef68f2a
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - batchnorm BCE loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+batchnorm	BCE loss	0%	6.273781478401124e-05	0.001646813121624291	0.982297956943512	2024-02-29 23:48:03.550295	2024-03-01 01:25:51.375010	5867.824715
+batchnorm	BCE loss	1%	4.559156478768638e-05	0.0008041798137128353	0.9919941425323486	2024-03-01 01:26:25.542105	2024-03-01 03:04:39.244339	5893.702234
+batchnorm	BCE loss	3%	5.2396820083054156e-05	0.001052160863764584	0.9893621802330017	2024-03-01 03:05:13.849902	2024-03-01 04:43:27.686822	5893.83692
+batchnorm	BCE loss	5%	4.3252483279106484e-05	0.0007810361566953361	0.9928851127624512	2024-03-01 04:44:02.421355	2024-03-01 06:22:15.206400	5892.785045
+batchnorm	BCE loss	10%	6.153911613417694e-05	0.0012035571271553636	0.9879045486450195	2024-03-01 06:22:50.033465	2024-03-01 08:00:53.528541	5883.495076
+batchnorm	BCE loss	25%	3.928426574256799e-05	0.0014094952493906021	0.9852403402328491	2024-03-01 08:01:28.449264	2024-03-01 09:39:54.570678	5906.121414
+batchnorm	BCE loss	50%	4.010800220776981e-05	0.0018215322634205222	0.9824396371841431	2024-03-01 09:40:29.780687	2024-03-01 11:18:41.355554	5891.574867
diff --git a/examples/synthetic_noise_examples/iterations/iterations - batchnorm L1 loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - batchnorm L1 loss/results.csv
new file mode 100644
index 0000000..188d116
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - batchnorm L1 loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+batchnorm	L1 loss	0%	0.0006915227358078857	0.0018220605561509728	0.9863409996032715	2024-02-28 23:29:22.741161	2024-02-29 01:06:16.787702	5814.046541
+batchnorm	L1 loss	1%	0.0008468349388413712	0.002271840814501047	0.980649471282959	2024-02-29 01:06:50.851732	2024-02-29 02:44:46.981594	5876.129862
+batchnorm	L1 loss	3%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-02-29 02:45:21.807343	2024-02-29 04:23:27.481336	5885.673993
+batchnorm	L1 loss	5%	0.0008842984918411415	0.0022870972752571106	0.9813157320022583	2024-02-29 04:24:02.208523	2024-02-29 06:02:14.555386	5892.346863
+batchnorm	L1 loss	10%	0.0009954969754476085	0.002158472780138254	0.9832056164741516	2024-02-29 06:02:49.408318	2024-02-29 07:40:48.146197	5878.737879
+batchnorm	L1 loss	25%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-02-29 07:41:23.222486	2024-02-29 09:19:24.931029	5881.708543
+batchnorm	L1 loss	50%	0.0006580391578749654	0.0024218689650297165	0.9807299971580505	2024-02-29 09:19:59.786525	2024-02-29 10:58:06.358221	5886.571696
diff --git a/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM + BCE loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM + BCE loss/results.csv
new file mode 100644
index 0000000..420b332
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM + BCE loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+batchnorm	SSIM + BCE loss	0%	4.703331943327754e-05	0.001838005380704999	0.9809330701828003	2024-03-02 20:36:15.956414	2024-03-02 22:19:00.705427	6164.749013
+batchnorm	SSIM + BCE loss	1%	3.037466730555104e-05	0.0009155301377177238	0.9914963841438293	2024-03-02 22:19:34.210268	2024-03-03 00:03:50.595418	6256.38515
+batchnorm	SSIM + BCE loss	3%	2.5232639063324383e-05	0.00044404188520275056	0.9966683387756348	2024-03-03 00:04:25.094167	2024-03-03 01:48:24.496942	6239.402775
+batchnorm	SSIM + BCE loss	5%	3.24266766168888e-05	0.0010295886313542724	0.9903817772865295	2024-03-03 01:48:58.875873	2024-03-03 03:33:18.452389	6259.576516
+batchnorm	SSIM + BCE loss	10%	3.503804035016395e-05	0.0008685151115059853	0.9915258288383484	2024-03-03 03:33:53.143676	2024-03-03 05:18:02.300307	6249.156631
+batchnorm	SSIM + BCE loss	25%	3.250510216498287e-05	0.0015450069913640618	0.9849971532821655	2024-03-03 05:18:37.352944	2024-03-03 07:03:00.412589	6263.059645
+batchnorm	SSIM + BCE loss	50%	4.310883857431444e-05	0.0016315311659127474	0.9832671284675598	2024-03-03 07:03:35.811634	2024-03-03 08:47:47.289461	6251.477827
diff --git a/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM loss/results.csv
new file mode 100644
index 0000000..2685212
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - batchnorm SSIM loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+batchnorm	SSIM loss	0%	7.380955580287128e-05	0.0015755696222186089	0.9880495071411133	2024-02-29 11:05:24.038480	2024-02-29 12:48:05.178528	6161.140048
+batchnorm	SSIM loss	1%	4.0622578782349635e-05	0.0011767226969823241	0.9930772185325623	2024-02-29 12:48:39.172592	2024-02-29 14:32:32.963633	6233.791041
+batchnorm	SSIM loss	3%	6.49283776058037e-05	0.0008349802810698748	0.996840238571167	2024-02-29 14:33:07.644379	2024-02-29 16:18:46.687580	6339.043201
+batchnorm	SSIM loss	5%	3.676765525168214e-05	0.001172215910628438	0.9957174062728882	2024-02-29 16:19:22.559483	2024-02-29 18:03:59.435317	6276.875834
+batchnorm	SSIM loss	10%	4.508645052660217e-05	0.0012195019517093897	0.9920879602432251	2024-02-29 18:04:35.183599	2024-02-29 19:48:17.554979	6222.37138
+batchnorm	SSIM loss	25%	5.907159517503407e-05	0.0013627776643261313	0.9921279549598694	2024-02-29 19:48:53.330984	2024-02-29 21:32:36.477638	6223.146654
+batchnorm	SSIM loss	50%	3.246033612830621e-05	0.001957215368747711	0.9851090908050537	2024-02-29 21:33:12.472984	2024-02-29 23:16:50.492203	6218.019219
diff --git a/examples/synthetic_noise_examples/iterations/iterations - none BCE loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - none BCE loss/results.csv
new file mode 100644
index 0000000..501c55f
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - none BCE loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+none	BCE loss	0%	0.00014217105744973485	5.0824422942241654e-05	0.9997283816337585	2024-03-02 11:21:11.978918	2024-03-02 12:06:03.418768	2691.43985
+none	BCE loss	1%	1.62210540921251e-05	0.00010324227332603186	0.9988656640052795	2024-03-02 12:06:36.723048	2024-03-02 12:52:06.911076	2730.188028
+none	BCE loss	3%	1.632212724769605e-05	7.058848859742284e-05	0.9993249773979187	2024-03-02 12:52:41.386730	2024-03-02 13:38:08.702311	2727.315581
+none	BCE loss	5%	2.212522745098254e-05	0.00026588229229673743	0.9973129630088806	2024-03-02 13:38:43.169393	2024-03-02 14:24:07.035968	2723.866575
+none	BCE loss	10%	4.5598061938757244e-05	0.000803257804363966	0.9910317063331604	2024-03-02 14:24:41.621593	2024-03-02 15:10:02.266847	2720.645254
+none	BCE loss	25%	5.255417055066643e-05	0.0006481552845798433	0.994242250919342	2024-03-02 15:10:37.463800	2024-03-02 15:55:58.177609	2720.713809
+none	BCE loss	50%	1.0958673018212132e-05	0.0011706402292475104	0.9869590401649475	2024-03-02 15:56:33.260425	2024-03-02 16:41:53.547253	2720.286828
diff --git a/examples/synthetic_noise_examples/iterations/iterations - none L1 loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - none L1 loss/results.csv
new file mode 100644
index 0000000..aa10af0
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - none L1 loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+none	L1 loss	0%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-03-01 11:52:57.023520	2024-03-01 12:37:48.419661	2691.396141
+none	L1 loss	1%	0.022502585055549886	0.021582068875432014	0.893893837928772	2024-03-01 12:38:21.550502	2024-03-01 13:23:39.856372	2718.30587
+none	L1 loss	3%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-03-01 13:24:14.677875	2024-03-01 14:09:35.000082	2720.322207
+none	L1 loss	5%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-03-01 14:10:09.374174	2024-03-01 14:55:32.400475	2723.026301
+none	L1 loss	10%	0.021567698193072617	0.021108107641339302	0.8934774994850159	2024-03-01 14:56:07.095010	2024-03-01 15:41:29.083370	2721.98836
+none	L1 loss	25%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-03-01 15:42:04.005717	2024-03-01 16:27:36.246395	2732.240678
+none	L1 loss	50%	0.03489439727531539	0.03305785357952118	0.837907075881958	2024-03-01 16:28:11.163037	2024-03-01 17:13:33.075712	2721.912675
diff --git a/examples/synthetic_noise_examples/iterations/iterations - none SSIM loss/results.csv b/examples/synthetic_noise_examples/iterations/iterations - none SSIM loss/results.csv
new file mode 100644
index 0000000..c30d514
--- /dev/null
+++ b/examples/synthetic_noise_examples/iterations/iterations - none SSIM loss/results.csv	
@@ -0,0 +1,8 @@
+norm type	loss type	noise type	loss value	L1 val	SSIM val	start time	end time	duration (sec)
+none	SSIM loss	0%	0.04276175358974628	0.009667381644248962	0.9590610265731812	2024-03-01 23:44:22.992401	2024-03-02 00:32:22.717229	2879.724828
+none	SSIM loss	1%	0.16940376493665907	0.03306145966053009	0.837907075881958	2024-03-02 00:32:56.647685	2024-03-02 01:21:16.601588	2899.953903
+none	SSIM loss	3%	0.06629286803187291	0.01384272426366806	0.9346688985824585	2024-03-02 01:21:51.146235	2024-03-02 02:10:03.001645	2891.85541
+none	SSIM loss	5%	0.07680332689148221	0.01579538732767105	0.9247464537620544	2024-03-02 02:10:37.503017	2024-03-02 02:58:58.781540	2901.278523
+none	SSIM loss	10%	0.03503085740188346	0.008152404800057411	0.9626864790916443	2024-03-02 02:59:33.529340	2024-03-02 03:47:53.242856	2899.713516
+none	SSIM loss	25%	0.16940376493665907	0.03306565061211586	0.837907075881958	2024-03-02 03:48:28.082701	2024-03-02 04:36:49.282679	2901.199978
+none	SSIM loss	50%	0.1694031717064232	0.03307770565152168	0.837907075881958	2024-03-02 04:37:24.473840	2024-03-02 05:25:46.421643	2901.947803
diff --git a/examples/synthetic_noise_examples/results.ipynb b/examples/synthetic_noise_examples/results.ipynb
index d301f1e..03deb41 100644
--- a/examples/synthetic_noise_examples/results.ipynb
+++ b/examples/synthetic_noise_examples/results.ipynb
@@ -9,7 +9,6 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
    "source": [
     "!pip install pandas\n",
@@ -17,7 +16,8 @@
     "!pip install matplotlib\n",
     "!pip install seaborn"
    ],
-   "id": "ab526de0db4820b4"
+   "id": "ab526de0db4820b4",
+   "outputs": []
   },
   {
    "metadata": {},
@@ -26,10 +26,13 @@
    "id": "b2694fc2e6fb149a"
   },
   {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:19:09.179179Z",
+     "start_time": "2025-08-07T15:19:09.165180Z"
+    }
+   },
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": 1,
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -37,32 +40,151 @@
     "import matplotlib.pyplot as plt\n",
     "import seaborn as sns"
    ],
-   "id": "c42bfc82-4867-48d7-9289-1ff2c4e30e8a"
+   "id": "c42bfc82-4867-48d7-9289-1ff2c4e30e8a",
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "id": "f1ad535d-e4c9-4f44-b43e-c78b33ed0b00",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:45.899779Z",
+     "start_time": "2025-08-07T15:21:45.891780Z"
+    }
+   },
    "source": [
-    "paths = ['./iterations - batchnorm L1 loss',\n",
-    "        './iterations - batchnorm SSIM loss',\n",
-    "        './iterations - batchnorm BCE loss',\n",
-    "        './iterations - none L1 loss',\n",
-    "        './iterations - none SSIM loss',\n",
-    "        './iterations - none BCE loss',\n",
-    "        './iterations - batchnorm SSIM + BCE loss']"
-   ]
+    "paths = ['iterations/iterations - batchnorm L1 loss',\n",
+    "        'iterations/iterations - batchnorm SSIM loss',\n",
+    "        'iterations/iterations - batchnorm BCE loss',\n",
+    "        'iterations/iterations - none L1 loss',\n",
+    "        'iterations/iterations - none SSIM loss',\n",
+    "        'iterations/iterations - none BCE loss',\n",
+    "        'iterations/iterations - batchnorm SSIM + BCE loss']"
+   ],
+   "outputs": [],
+   "execution_count": 4
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
    "id": "ea3f369f-62fe-468e-b1c9-ba0a0350a062",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:47.790929Z",
+     "start_time": "2025-08-07T15:21:47.761928Z"
+    }
+   },
+   "source": [
+    "results = [pd.read_csv(f'{path}/results.csv', sep='\\t') for path in paths]\n",
+    "results = pd.concat(results).reset_index(drop=True)\n",
+    "results"
+   ],
    "outputs": [
     {
      "data": {
+      "text/plain": [
+       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
+       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
+       "1   batchnorm          L1 loss         1%    0.000847  0.002272  0.980649   \n",
+       "2   batchnorm          L1 loss         3%    0.034894  0.033058  0.837907   \n",
+       "3   batchnorm          L1 loss         5%    0.000884  0.002287  0.981316   \n",
+       "4   batchnorm          L1 loss        10%    0.000995  0.002158  0.983206   \n",
+       "5   batchnorm          L1 loss        25%    0.034894  0.033058  0.837907   \n",
+       "6   batchnorm          L1 loss        50%    0.000658  0.002422  0.980730   \n",
+       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
+       "8   batchnorm        SSIM loss         1%    0.000041  0.001177  0.993077   \n",
+       "9   batchnorm        SSIM loss         3%    0.000065  0.000835  0.996840   \n",
+       "10  batchnorm        SSIM loss         5%    0.000037  0.001172  0.995717   \n",
+       "11  batchnorm        SSIM loss        10%    0.000045  0.001220  0.992088   \n",
+       "12  batchnorm        SSIM loss        25%    0.000059  0.001363  0.992128   \n",
+       "13  batchnorm        SSIM loss        50%    0.000032  0.001957  0.985109   \n",
+       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
+       "15  batchnorm         BCE loss         1%    0.000046  0.000804  0.991994   \n",
+       "16  batchnorm         BCE loss         3%    0.000052  0.001052  0.989362   \n",
+       "17  batchnorm         BCE loss         5%    0.000043  0.000781  0.992885   \n",
+       "18  batchnorm         BCE loss        10%    0.000062  0.001204  0.987905   \n",
+       "19  batchnorm         BCE loss        25%    0.000039  0.001409  0.985240   \n",
+       "20  batchnorm         BCE loss        50%    0.000040  0.001822  0.982440   \n",
+       "21       none          L1 loss         0%    0.034894  0.033058  0.837907   \n",
+       "22       none          L1 loss         1%    0.022503  0.021582  0.893894   \n",
+       "23       none          L1 loss         3%    0.034894  0.033058  0.837907   \n",
+       "24       none          L1 loss         5%    0.034894  0.033058  0.837907   \n",
+       "25       none          L1 loss        10%    0.021568  0.021108  0.893477   \n",
+       "26       none          L1 loss        25%    0.034894  0.033058  0.837907   \n",
+       "27       none          L1 loss        50%    0.034894  0.033058  0.837907   \n",
+       "28       none        SSIM loss         0%    0.042762  0.009667  0.959061   \n",
+       "29       none        SSIM loss         1%    0.169404  0.033061  0.837907   \n",
+       "30       none        SSIM loss         3%    0.066293  0.013843  0.934669   \n",
+       "31       none        SSIM loss         5%    0.076803  0.015795  0.924746   \n",
+       "32       none        SSIM loss        10%    0.035031  0.008152  0.962686   \n",
+       "33       none        SSIM loss        25%    0.169404  0.033066  0.837907   \n",
+       "34       none        SSIM loss        50%    0.169403  0.033078  0.837907   \n",
+       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
+       "36       none         BCE loss         1%    0.000016  0.000103  0.998866   \n",
+       "37       none         BCE loss         3%    0.000016  0.000071  0.999325   \n",
+       "38       none         BCE loss         5%    0.000022  0.000266  0.997313   \n",
+       "39       none         BCE loss        10%    0.000046  0.000803  0.991032   \n",
+       "40       none         BCE loss        25%    0.000053  0.000648  0.994242   \n",
+       "41       none         BCE loss        50%    0.000011  0.001171  0.986959   \n",
+       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
+       "43  batchnorm  SSIM + BCE loss         1%    0.000030  0.000916  0.991496   \n",
+       "44  batchnorm  SSIM + BCE loss         3%    0.000025  0.000444  0.996668   \n",
+       "45  batchnorm  SSIM + BCE loss         5%    0.000032  0.001030  0.990382   \n",
+       "46  batchnorm  SSIM + BCE loss        10%    0.000035  0.000869  0.991526   \n",
+       "47  batchnorm  SSIM + BCE loss        25%    0.000033  0.001545  0.984997   \n",
+       "48  batchnorm  SSIM + BCE loss        50%    0.000043  0.001632  0.983267   \n",
+       "\n",
+       "                    start time                    end time  duration (sec)  \n",
+       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
+       "1   2024-02-29 01:06:50.851732  2024-02-29 02:44:46.981594     5876.129862  \n",
+       "2   2024-02-29 02:45:21.807343  2024-02-29 04:23:27.481336     5885.673993  \n",
+       "3   2024-02-29 04:24:02.208523  2024-02-29 06:02:14.555386     5892.346863  \n",
+       "4   2024-02-29 06:02:49.408318  2024-02-29 07:40:48.146197     5878.737879  \n",
+       "5   2024-02-29 07:41:23.222486  2024-02-29 09:19:24.931029     5881.708543  \n",
+       "6   2024-02-29 09:19:59.786525  2024-02-29 10:58:06.358221     5886.571696  \n",
+       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
+       "8   2024-02-29 12:48:39.172592  2024-02-29 14:32:32.963633     6233.791041  \n",
+       "9   2024-02-29 14:33:07.644379  2024-02-29 16:18:46.687580     6339.043201  \n",
+       "10  2024-02-29 16:19:22.559483  2024-02-29 18:03:59.435317     6276.875834  \n",
+       "11  2024-02-29 18:04:35.183599  2024-02-29 19:48:17.554979     6222.371380  \n",
+       "12  2024-02-29 19:48:53.330984  2024-02-29 21:32:36.477638     6223.146654  \n",
+       "13  2024-02-29 21:33:12.472984  2024-02-29 23:16:50.492203     6218.019219  \n",
+       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
+       "15  2024-03-01 01:26:25.542105  2024-03-01 03:04:39.244339     5893.702234  \n",
+       "16  2024-03-01 03:05:13.849902  2024-03-01 04:43:27.686822     5893.836920  \n",
+       "17  2024-03-01 04:44:02.421355  2024-03-01 06:22:15.206400     5892.785045  \n",
+       "18  2024-03-01 06:22:50.033465  2024-03-01 08:00:53.528541     5883.495076  \n",
+       "19  2024-03-01 08:01:28.449264  2024-03-01 09:39:54.570678     5906.121414  \n",
+       "20  2024-03-01 09:40:29.780687  2024-03-01 11:18:41.355554     5891.574867  \n",
+       "21  2024-03-01 11:52:57.023520  2024-03-01 12:37:48.419661     2691.396141  \n",
+       "22  2024-03-01 12:38:21.550502  2024-03-01 13:23:39.856372     2718.305870  \n",
+       "23  2024-03-01 13:24:14.677875  2024-03-01 14:09:35.000082     2720.322207  \n",
+       "24  2024-03-01 14:10:09.374174  2024-03-01 14:55:32.400475     2723.026301  \n",
+       "25  2024-03-01 14:56:07.095010  2024-03-01 15:41:29.083370     2721.988360  \n",
+       "26  2024-03-01 15:42:04.005717  2024-03-01 16:27:36.246395     2732.240678  \n",
+       "27  2024-03-01 16:28:11.163037  2024-03-01 17:13:33.075712     2721.912675  \n",
+       "28  2024-03-01 23:44:22.992401  2024-03-02 00:32:22.717229     2879.724828  \n",
+       "29  2024-03-02 00:32:56.647685  2024-03-02 01:21:16.601588     2899.953903  \n",
+       "30  2024-03-02 01:21:51.146235  2024-03-02 02:10:03.001645     2891.855410  \n",
+       "31  2024-03-02 02:10:37.503017  2024-03-02 02:58:58.781540     2901.278523  \n",
+       "32  2024-03-02 02:59:33.529340  2024-03-02 03:47:53.242856     2899.713516  \n",
+       "33  2024-03-02 03:48:28.082701  2024-03-02 04:36:49.282679     2901.199978  \n",
+       "34  2024-03-02 04:37:24.473840  2024-03-02 05:25:46.421643     2901.947803  \n",
+       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
+       "36  2024-03-02 12:06:36.723048  2024-03-02 12:52:06.911076     2730.188028  \n",
+       "37  2024-03-02 12:52:41.386730  2024-03-02 13:38:08.702311     2727.315581  \n",
+       "38  2024-03-02 13:38:43.169393  2024-03-02 14:24:07.035968     2723.866575  \n",
+       "39  2024-03-02 14:24:41.621593  2024-03-02 15:10:02.266847     2720.645254  \n",
+       "40  2024-03-02 15:10:37.463800  2024-03-02 15:55:58.177609     2720.713809  \n",
+       "41  2024-03-02 15:56:33.260425  2024-03-02 16:41:53.547253     2720.286828  \n",
+       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  \n",
+       "43  2024-03-02 22:19:34.210268  2024-03-03 00:03:50.595418     6256.385150  \n",
+       "44  2024-03-03 00:04:25.094167  2024-03-03 01:48:24.496942     6239.402775  \n",
+       "45  2024-03-03 01:48:58.875873  2024-03-03 03:33:18.452389     6259.576516  \n",
+       "46  2024-03-03 03:33:53.143676  2024-03-03 05:18:02.300307     6249.156631  \n",
+       "47  2024-03-03 05:18:37.352944  2024-03-03 07:03:00.412589     6263.059645  \n",
+       "48  2024-03-03 07:03:35.811634  2024-03-03 08:47:47.289461     6251.477827  "
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -685,121 +807,14 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
-       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
-       "1   batchnorm          L1 loss         1%    0.000847  0.002272  0.980649   \n",
-       "2   batchnorm          L1 loss         3%    0.034894  0.033058  0.837907   \n",
-       "3   batchnorm          L1 loss         5%    0.000884  0.002287  0.981316   \n",
-       "4   batchnorm          L1 loss        10%    0.000995  0.002158  0.983206   \n",
-       "5   batchnorm          L1 loss        25%    0.034894  0.033058  0.837907   \n",
-       "6   batchnorm          L1 loss        50%    0.000658  0.002422  0.980730   \n",
-       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
-       "8   batchnorm        SSIM loss         1%    0.000041  0.001177  0.993077   \n",
-       "9   batchnorm        SSIM loss         3%    0.000065  0.000835  0.996840   \n",
-       "10  batchnorm        SSIM loss         5%    0.000037  0.001172  0.995717   \n",
-       "11  batchnorm        SSIM loss        10%    0.000045  0.001220  0.992088   \n",
-       "12  batchnorm        SSIM loss        25%    0.000059  0.001363  0.992128   \n",
-       "13  batchnorm        SSIM loss        50%    0.000032  0.001957  0.985109   \n",
-       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
-       "15  batchnorm         BCE loss         1%    0.000046  0.000804  0.991994   \n",
-       "16  batchnorm         BCE loss         3%    0.000052  0.001052  0.989362   \n",
-       "17  batchnorm         BCE loss         5%    0.000043  0.000781  0.992885   \n",
-       "18  batchnorm         BCE loss        10%    0.000062  0.001204  0.987905   \n",
-       "19  batchnorm         BCE loss        25%    0.000039  0.001409  0.985240   \n",
-       "20  batchnorm         BCE loss        50%    0.000040  0.001822  0.982440   \n",
-       "21       none          L1 loss         0%    0.034894  0.033058  0.837907   \n",
-       "22       none          L1 loss         1%    0.022503  0.021582  0.893894   \n",
-       "23       none          L1 loss         3%    0.034894  0.033058  0.837907   \n",
-       "24       none          L1 loss         5%    0.034894  0.033058  0.837907   \n",
-       "25       none          L1 loss        10%    0.021568  0.021108  0.893477   \n",
-       "26       none          L1 loss        25%    0.034894  0.033058  0.837907   \n",
-       "27       none          L1 loss        50%    0.034894  0.033058  0.837907   \n",
-       "28       none        SSIM loss         0%    0.042762  0.009667  0.959061   \n",
-       "29       none        SSIM loss         1%    0.169404  0.033061  0.837907   \n",
-       "30       none        SSIM loss         3%    0.066293  0.013843  0.934669   \n",
-       "31       none        SSIM loss         5%    0.076803  0.015795  0.924746   \n",
-       "32       none        SSIM loss        10%    0.035031  0.008152  0.962686   \n",
-       "33       none        SSIM loss        25%    0.169404  0.033066  0.837907   \n",
-       "34       none        SSIM loss        50%    0.169403  0.033078  0.837907   \n",
-       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
-       "36       none         BCE loss         1%    0.000016  0.000103  0.998866   \n",
-       "37       none         BCE loss         3%    0.000016  0.000071  0.999325   \n",
-       "38       none         BCE loss         5%    0.000022  0.000266  0.997313   \n",
-       "39       none         BCE loss        10%    0.000046  0.000803  0.991032   \n",
-       "40       none         BCE loss        25%    0.000053  0.000648  0.994242   \n",
-       "41       none         BCE loss        50%    0.000011  0.001171  0.986959   \n",
-       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
-       "43  batchnorm  SSIM + BCE loss         1%    0.000030  0.000916  0.991496   \n",
-       "44  batchnorm  SSIM + BCE loss         3%    0.000025  0.000444  0.996668   \n",
-       "45  batchnorm  SSIM + BCE loss         5%    0.000032  0.001030  0.990382   \n",
-       "46  batchnorm  SSIM + BCE loss        10%    0.000035  0.000869  0.991526   \n",
-       "47  batchnorm  SSIM + BCE loss        25%    0.000033  0.001545  0.984997   \n",
-       "48  batchnorm  SSIM + BCE loss        50%    0.000043  0.001632  0.983267   \n",
-       "\n",
-       "                    start time                    end time  duration (sec)  \n",
-       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
-       "1   2024-02-29 01:06:50.851732  2024-02-29 02:44:46.981594     5876.129862  \n",
-       "2   2024-02-29 02:45:21.807343  2024-02-29 04:23:27.481336     5885.673993  \n",
-       "3   2024-02-29 04:24:02.208523  2024-02-29 06:02:14.555386     5892.346863  \n",
-       "4   2024-02-29 06:02:49.408318  2024-02-29 07:40:48.146197     5878.737879  \n",
-       "5   2024-02-29 07:41:23.222486  2024-02-29 09:19:24.931029     5881.708543  \n",
-       "6   2024-02-29 09:19:59.786525  2024-02-29 10:58:06.358221     5886.571696  \n",
-       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
-       "8   2024-02-29 12:48:39.172592  2024-02-29 14:32:32.963633     6233.791041  \n",
-       "9   2024-02-29 14:33:07.644379  2024-02-29 16:18:46.687580     6339.043201  \n",
-       "10  2024-02-29 16:19:22.559483  2024-02-29 18:03:59.435317     6276.875834  \n",
-       "11  2024-02-29 18:04:35.183599  2024-02-29 19:48:17.554979     6222.371380  \n",
-       "12  2024-02-29 19:48:53.330984  2024-02-29 21:32:36.477638     6223.146654  \n",
-       "13  2024-02-29 21:33:12.472984  2024-02-29 23:16:50.492203     6218.019219  \n",
-       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
-       "15  2024-03-01 01:26:25.542105  2024-03-01 03:04:39.244339     5893.702234  \n",
-       "16  2024-03-01 03:05:13.849902  2024-03-01 04:43:27.686822     5893.836920  \n",
-       "17  2024-03-01 04:44:02.421355  2024-03-01 06:22:15.206400     5892.785045  \n",
-       "18  2024-03-01 06:22:50.033465  2024-03-01 08:00:53.528541     5883.495076  \n",
-       "19  2024-03-01 08:01:28.449264  2024-03-01 09:39:54.570678     5906.121414  \n",
-       "20  2024-03-01 09:40:29.780687  2024-03-01 11:18:41.355554     5891.574867  \n",
-       "21  2024-03-01 11:52:57.023520  2024-03-01 12:37:48.419661     2691.396141  \n",
-       "22  2024-03-01 12:38:21.550502  2024-03-01 13:23:39.856372     2718.305870  \n",
-       "23  2024-03-01 13:24:14.677875  2024-03-01 14:09:35.000082     2720.322207  \n",
-       "24  2024-03-01 14:10:09.374174  2024-03-01 14:55:32.400475     2723.026301  \n",
-       "25  2024-03-01 14:56:07.095010  2024-03-01 15:41:29.083370     2721.988360  \n",
-       "26  2024-03-01 15:42:04.005717  2024-03-01 16:27:36.246395     2732.240678  \n",
-       "27  2024-03-01 16:28:11.163037  2024-03-01 17:13:33.075712     2721.912675  \n",
-       "28  2024-03-01 23:44:22.992401  2024-03-02 00:32:22.717229     2879.724828  \n",
-       "29  2024-03-02 00:32:56.647685  2024-03-02 01:21:16.601588     2899.953903  \n",
-       "30  2024-03-02 01:21:51.146235  2024-03-02 02:10:03.001645     2891.855410  \n",
-       "31  2024-03-02 02:10:37.503017  2024-03-02 02:58:58.781540     2901.278523  \n",
-       "32  2024-03-02 02:59:33.529340  2024-03-02 03:47:53.242856     2899.713516  \n",
-       "33  2024-03-02 03:48:28.082701  2024-03-02 04:36:49.282679     2901.199978  \n",
-       "34  2024-03-02 04:37:24.473840  2024-03-02 05:25:46.421643     2901.947803  \n",
-       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
-       "36  2024-03-02 12:06:36.723048  2024-03-02 12:52:06.911076     2730.188028  \n",
-       "37  2024-03-02 12:52:41.386730  2024-03-02 13:38:08.702311     2727.315581  \n",
-       "38  2024-03-02 13:38:43.169393  2024-03-02 14:24:07.035968     2723.866575  \n",
-       "39  2024-03-02 14:24:41.621593  2024-03-02 15:10:02.266847     2720.645254  \n",
-       "40  2024-03-02 15:10:37.463800  2024-03-02 15:55:58.177609     2720.713809  \n",
-       "41  2024-03-02 15:56:33.260425  2024-03-02 16:41:53.547253     2720.286828  \n",
-       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  \n",
-       "43  2024-03-02 22:19:34.210268  2024-03-03 00:03:50.595418     6256.385150  \n",
-       "44  2024-03-03 00:04:25.094167  2024-03-03 01:48:24.496942     6239.402775  \n",
-       "45  2024-03-03 01:48:58.875873  2024-03-03 03:33:18.452389     6259.576516  \n",
-       "46  2024-03-03 03:33:53.143676  2024-03-03 05:18:02.300307     6249.156631  \n",
-       "47  2024-03-03 05:18:37.352944  2024-03-03 07:03:00.412589     6263.059645  \n",
-       "48  2024-03-03 07:03:35.811634  2024-03-03 08:47:47.289461     6251.477827  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "results = [pd.read_csv(f'{path}/results.csv', sep='\\t') for path in paths]\n",
-    "results = pd.concat(results).reset_index(drop=True)\n",
-    "results"
-   ]
+   "execution_count": 5
   },
   {
    "cell_type": "markdown",
@@ -815,10 +830,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
    "id": "6c98ad82",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:51.077756Z",
+     "start_time": "2025-08-07T15:21:51.060759Z"
+    }
+   },
    "source": [
     "def plot_bar_results(results: pd.DataFrame, \n",
     "                     figsize: tuple,\n",
@@ -844,154 +862,191 @@
     "    axes[1].grid()\n",
     "    \n",
     "    plt.show()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 6
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
    "id": "1bb618e7",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:55.739370Z",
+     "start_time": "2025-08-07T15:21:55.458367Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='0%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='0%')"
-   ]
+   "execution_count": 7
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
    "id": "12a4f413-bff8-4c91-bc27-b3d4ce311e13",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:58.231782Z",
+     "start_time": "2025-08-07T15:21:58.053785Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='1%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='1%')"
-   ]
+   "execution_count": 8
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
    "id": "11b9e21d",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:21:59.622034Z",
+     "start_time": "2025-08-07T15:21:59.468033Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='3%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='3%')"
-   ]
+   "execution_count": 9
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
    "id": "3f750fc2",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:00.732347Z",
+     "start_time": "2025-08-07T15:22:00.564343Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='5%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='5%')"
-   ]
+   "execution_count": 10
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
    "id": "6ec15228",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:02.279193Z",
+     "start_time": "2025-08-07T15:22:02.109194Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='10%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='10%')"
-   ]
+   "execution_count": 11
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
    "id": "19ef7170",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:05.230109Z",
+     "start_time": "2025-08-07T15:22:05.067089Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='25%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='25%')"
-   ]
+   "execution_count": 12
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
    "id": "5482ac4c",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:07.075421Z",
+     "start_time": "2025-08-07T15:22:06.911421Z"
+    }
+   },
+   "source": [
+    "plot_bar_results(results, figsize=(10, 5), noize='50%')"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "plot_bar_results(results, figsize=(10, 5), noize='50%')"
-   ]
+   "execution_count": 13
   },
   {
    "cell_type": "markdown",
@@ -1001,9 +1056,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
    "id": "f5a3b37c-ece7-411c-b6b2-6b2fa6c14434",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:10.351724Z",
+     "start_time": "2025-08-07T15:22:10.345725Z"
+    }
+   },
+   "source": [
+    "print('Best values for 0% noize:')\n",
+    "\n",
+    "bar_data = results[(results['noise type'] == '0%') & (results['loss value'] < 0.034)]\n",
+    "name_column = bar_data['norm type'] + ' ' + bar_data['loss type']\n",
+    "print(f'- best SSIM val: {name_column.iloc[bar_data[\"SSIM val\"].argmax()]}, score = {bar_data[\"SSIM val\"].max()}', \n",
+    "      f'- best L1 val: {name_column.iloc[bar_data[\"L1 val\"].argmin()]}, score = {bar_data[\"L1 val\"].min()}',\n",
+    "      f'- best loss value: {name_column.iloc[bar_data[\"loss value\"].argmin()]}, score = {bar_data[\"loss value\"].min()}',\n",
+    "      sep='\\n')"
+   ],
    "outputs": [
     {
      "name": "stdout",
@@ -1016,32 +1085,46 @@
      ]
     }
    ],
-   "source": [
-    "print('Best values for 0% noize:')\n",
-    "\n",
-    "bar_data = results[(results['noise type'] == '0%') & (results['loss value'] < 0.034)]\n",
-    "name_column = bar_data['norm type'] + ' ' + bar_data['loss type']\n",
-    "print(f'- best SSIM val: {name_column.iloc[bar_data[\"SSIM val\"].argmax()]}, score = {bar_data[\"SSIM val\"].max()}', \n",
-    "      f'- best L1 val: {name_column.iloc[bar_data[\"L1 val\"].argmin()]}, score = {bar_data[\"L1 val\"].min()}',\n",
-    "      f'- best loss value: {name_column.iloc[bar_data[\"loss value\"].argmin()]}, score = {bar_data[\"loss value\"].min()}',\n",
-    "      sep='\\n')"
-   ]
+   "execution_count": 14
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
    "id": "0d3f0797-ec3a-4031-9117-d94eb94646b7",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:12.562409Z",
+     "start_time": "2025-08-07T15:22:12.542410Z"
+    }
+   },
+   "source": [
+    "print('Models with no plateau and 0% noize')\n",
+    "bar_data"
+   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Models with no plateu and 0% noize\n"
+      "Models with no plateau and 0% noize\n"
      ]
     },
     {
      "data": {
+      "text/plain": [
+       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
+       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
+       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
+       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
+       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
+       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
+       "\n",
+       "                    start time                    end time  duration (sec)  \n",
+       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
+       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
+       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
+       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
+       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  "
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1136,32 +1219,14 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
-       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
-       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
-       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
-       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
-       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
-       "\n",
-       "                    start time                    end time  duration (sec)  \n",
-       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
-       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
-       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
-       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
-       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  "
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "print('Models with no plateau and 0% noize')\n",
-    "bar_data"
-   ]
+   "execution_count": 15
   },
   {
    "cell_type": "markdown",
@@ -1171,47 +1236,72 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
    "id": "ee9e6ef2",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:16.149180Z",
+     "start_time": "2025-08-07T15:22:16.123671Z"
+    }
+   },
    "source": [
     "results['norm'] = results['norm type'].apply(lambda x: x == 'batchnorm')\n",
     "results['noise'] = results['noise type'].apply(lambda x: int(x[:-1])/100)\n",
     "\n",
     "corr = results[['norm', 'noise', 'loss value', 'L1 val', 'SSIM val']].corr()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 16
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
    "id": "18df94cc-6518-4ef0-a88f-6b075f54b1c2",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:19.620670Z",
+     "start_time": "2025-08-07T15:22:19.494670Z"
+    }
+   },
+   "source": [
+    "sns.heatmap(corr)\n",
+    "plt.show()"
+   ],
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ]
+      ],
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "sns.heatmap(corr)\n",
-    "plt.show()"
-   ]
+   "execution_count": 17
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
    "id": "1468b120",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:22:21.372344Z",
+     "start_time": "2025-08-07T15:22:21.351636Z"
+    }
+   },
+   "source": [
+    "corr"
+   ],
    "outputs": [
     {
      "data": {
+      "text/plain": [
+       "                    norm         noise  loss value    L1 val  SSIM val\n",
+       "norm        1.000000e+00 -3.387770e-17   -0.497079 -0.511535  0.490948\n",
+       "noise      -3.387770e-17  1.000000e+00    0.121358  0.103166 -0.122325\n",
+       "loss value -4.970785e-01  1.213583e-01    1.000000  0.711778 -0.704455\n",
+       "L1 val     -5.115353e-01  1.031662e-01    0.711778  1.000000 -0.998607\n",
+       "SSIM val    4.909478e-01 -1.223252e-01   -0.704455 -0.998607  1.000000"
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1282,24 +1372,14 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "                    norm         noise  loss value    L1 val  SSIM val\n",
-       "norm        1.000000e+00 -3.387770e-17   -0.497079 -0.511535  0.490948\n",
-       "noise      -3.387770e-17  1.000000e+00    0.121358  0.103166 -0.122325\n",
-       "loss value -4.970785e-01  1.213583e-01    1.000000  0.711778 -0.704455\n",
-       "L1 val     -5.115353e-01  1.031662e-01    0.711778  1.000000 -0.998607\n",
-       "SSIM val    4.909478e-01 -1.223252e-01   -0.704455 -0.998607  1.000000"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "corr"
-   ]
+   "execution_count": 18
   },
   {
    "cell_type": "markdown",
@@ -1349,10 +1429,10 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
    "source": "",
-   "id": "53575fe6d45953fc"
+   "id": "53575fe6d45953fc",
+   "outputs": []
   }
  ],
  "metadata": {
diff --git a/examples/synthetic_noise_examples/results_ru.ipynb b/examples/synthetic_noise_examples/results_ru.ipynb
index 0bac8bf..3958c34 100644
--- a/examples/synthetic_noise_examples/results_ru.ipynb
+++ b/examples/synthetic_noise_examples/results_ru.ipynb
@@ -30,10 +30,13 @@
    "id": "b2694fc2e6fb149a"
   },
   {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:24:27.372338Z",
+     "start_time": "2025-08-07T15:24:27.357310Z"
+    }
+   },
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": 1,
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -41,32 +44,151 @@
     "import matplotlib.pyplot as plt\n",
     "import seaborn as sns"
    ],
-   "id": "c42bfc82-4867-48d7-9289-1ff2c4e30e8a"
+   "id": "c42bfc82-4867-48d7-9289-1ff2c4e30e8a",
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "id": "f1ad535d-e4c9-4f44-b43e-c78b33ed0b00",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:24:28.886693Z",
+     "start_time": "2025-08-07T15:24:28.872693Z"
+    }
+   },
    "source": [
-    "paths = ['./iterations - batchnorm L1 loss',\n",
-    "        './iterations - batchnorm SSIM loss',\n",
-    "        './iterations - batchnorm BCE loss',\n",
-    "        './iterations - none L1 loss',\n",
-    "        './iterations - none SSIM loss',\n",
-    "        './iterations - none BCE loss',\n",
-    "        './iterations - batchnorm SSIM + BCE loss']"
-   ]
+    "paths = ['iterations/iterations - batchnorm L1 loss',\n",
+    "        'iterations/iterations - batchnorm SSIM loss',\n",
+    "        'iterations/iterations - batchnorm BCE loss',\n",
+    "        'iterations/iterations - none L1 loss',\n",
+    "        'iterations/iterations - none SSIM loss',\n",
+    "        'iterations/iterations - none BCE loss',\n",
+    "        'iterations/iterations - batchnorm SSIM + BCE loss']"
+   ],
+   "outputs": [],
+   "execution_count": 2
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
    "id": "ea3f369f-62fe-468e-b1c9-ba0a0350a062",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:24:29.780355Z",
+     "start_time": "2025-08-07T15:24:29.753355Z"
+    }
+   },
+   "source": [
+    "results = [pd.read_csv(f'{path}/results.csv', sep='\\t') for path in paths]\n",
+    "results = pd.concat(results).reset_index(drop=True)\n",
+    "results"
+   ],
    "outputs": [
     {
      "data": {
+      "text/plain": [
+       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
+       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
+       "1   batchnorm          L1 loss         1%    0.000847  0.002272  0.980649   \n",
+       "2   batchnorm          L1 loss         3%    0.034894  0.033058  0.837907   \n",
+       "3   batchnorm          L1 loss         5%    0.000884  0.002287  0.981316   \n",
+       "4   batchnorm          L1 loss        10%    0.000995  0.002158  0.983206   \n",
+       "5   batchnorm          L1 loss        25%    0.034894  0.033058  0.837907   \n",
+       "6   batchnorm          L1 loss        50%    0.000658  0.002422  0.980730   \n",
+       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
+       "8   batchnorm        SSIM loss         1%    0.000041  0.001177  0.993077   \n",
+       "9   batchnorm        SSIM loss         3%    0.000065  0.000835  0.996840   \n",
+       "10  batchnorm        SSIM loss         5%    0.000037  0.001172  0.995717   \n",
+       "11  batchnorm        SSIM loss        10%    0.000045  0.001220  0.992088   \n",
+       "12  batchnorm        SSIM loss        25%    0.000059  0.001363  0.992128   \n",
+       "13  batchnorm        SSIM loss        50%    0.000032  0.001957  0.985109   \n",
+       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
+       "15  batchnorm         BCE loss         1%    0.000046  0.000804  0.991994   \n",
+       "16  batchnorm         BCE loss         3%    0.000052  0.001052  0.989362   \n",
+       "17  batchnorm         BCE loss         5%    0.000043  0.000781  0.992885   \n",
+       "18  batchnorm         BCE loss        10%    0.000062  0.001204  0.987905   \n",
+       "19  batchnorm         BCE loss        25%    0.000039  0.001409  0.985240   \n",
+       "20  batchnorm         BCE loss        50%    0.000040  0.001822  0.982440   \n",
+       "21       none          L1 loss         0%    0.034894  0.033058  0.837907   \n",
+       "22       none          L1 loss         1%    0.022503  0.021582  0.893894   \n",
+       "23       none          L1 loss         3%    0.034894  0.033058  0.837907   \n",
+       "24       none          L1 loss         5%    0.034894  0.033058  0.837907   \n",
+       "25       none          L1 loss        10%    0.021568  0.021108  0.893477   \n",
+       "26       none          L1 loss        25%    0.034894  0.033058  0.837907   \n",
+       "27       none          L1 loss        50%    0.034894  0.033058  0.837907   \n",
+       "28       none        SSIM loss         0%    0.042762  0.009667  0.959061   \n",
+       "29       none        SSIM loss         1%    0.169404  0.033061  0.837907   \n",
+       "30       none        SSIM loss         3%    0.066293  0.013843  0.934669   \n",
+       "31       none        SSIM loss         5%    0.076803  0.015795  0.924746   \n",
+       "32       none        SSIM loss        10%    0.035031  0.008152  0.962686   \n",
+       "33       none        SSIM loss        25%    0.169404  0.033066  0.837907   \n",
+       "34       none        SSIM loss        50%    0.169403  0.033078  0.837907   \n",
+       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
+       "36       none         BCE loss         1%    0.000016  0.000103  0.998866   \n",
+       "37       none         BCE loss         3%    0.000016  0.000071  0.999325   \n",
+       "38       none         BCE loss         5%    0.000022  0.000266  0.997313   \n",
+       "39       none         BCE loss        10%    0.000046  0.000803  0.991032   \n",
+       "40       none         BCE loss        25%    0.000053  0.000648  0.994242   \n",
+       "41       none         BCE loss        50%    0.000011  0.001171  0.986959   \n",
+       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
+       "43  batchnorm  SSIM + BCE loss         1%    0.000030  0.000916  0.991496   \n",
+       "44  batchnorm  SSIM + BCE loss         3%    0.000025  0.000444  0.996668   \n",
+       "45  batchnorm  SSIM + BCE loss         5%    0.000032  0.001030  0.990382   \n",
+       "46  batchnorm  SSIM + BCE loss        10%    0.000035  0.000869  0.991526   \n",
+       "47  batchnorm  SSIM + BCE loss        25%    0.000033  0.001545  0.984997   \n",
+       "48  batchnorm  SSIM + BCE loss        50%    0.000043  0.001632  0.983267   \n",
+       "\n",
+       "                    start time                    end time  duration (sec)  \n",
+       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
+       "1   2024-02-29 01:06:50.851732  2024-02-29 02:44:46.981594     5876.129862  \n",
+       "2   2024-02-29 02:45:21.807343  2024-02-29 04:23:27.481336     5885.673993  \n",
+       "3   2024-02-29 04:24:02.208523  2024-02-29 06:02:14.555386     5892.346863  \n",
+       "4   2024-02-29 06:02:49.408318  2024-02-29 07:40:48.146197     5878.737879  \n",
+       "5   2024-02-29 07:41:23.222486  2024-02-29 09:19:24.931029     5881.708543  \n",
+       "6   2024-02-29 09:19:59.786525  2024-02-29 10:58:06.358221     5886.571696  \n",
+       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
+       "8   2024-02-29 12:48:39.172592  2024-02-29 14:32:32.963633     6233.791041  \n",
+       "9   2024-02-29 14:33:07.644379  2024-02-29 16:18:46.687580     6339.043201  \n",
+       "10  2024-02-29 16:19:22.559483  2024-02-29 18:03:59.435317     6276.875834  \n",
+       "11  2024-02-29 18:04:35.183599  2024-02-29 19:48:17.554979     6222.371380  \n",
+       "12  2024-02-29 19:48:53.330984  2024-02-29 21:32:36.477638     6223.146654  \n",
+       "13  2024-02-29 21:33:12.472984  2024-02-29 23:16:50.492203     6218.019219  \n",
+       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
+       "15  2024-03-01 01:26:25.542105  2024-03-01 03:04:39.244339     5893.702234  \n",
+       "16  2024-03-01 03:05:13.849902  2024-03-01 04:43:27.686822     5893.836920  \n",
+       "17  2024-03-01 04:44:02.421355  2024-03-01 06:22:15.206400     5892.785045  \n",
+       "18  2024-03-01 06:22:50.033465  2024-03-01 08:00:53.528541     5883.495076  \n",
+       "19  2024-03-01 08:01:28.449264  2024-03-01 09:39:54.570678     5906.121414  \n",
+       "20  2024-03-01 09:40:29.780687  2024-03-01 11:18:41.355554     5891.574867  \n",
+       "21  2024-03-01 11:52:57.023520  2024-03-01 12:37:48.419661     2691.396141  \n",
+       "22  2024-03-01 12:38:21.550502  2024-03-01 13:23:39.856372     2718.305870  \n",
+       "23  2024-03-01 13:24:14.677875  2024-03-01 14:09:35.000082     2720.322207  \n",
+       "24  2024-03-01 14:10:09.374174  2024-03-01 14:55:32.400475     2723.026301  \n",
+       "25  2024-03-01 14:56:07.095010  2024-03-01 15:41:29.083370     2721.988360  \n",
+       "26  2024-03-01 15:42:04.005717  2024-03-01 16:27:36.246395     2732.240678  \n",
+       "27  2024-03-01 16:28:11.163037  2024-03-01 17:13:33.075712     2721.912675  \n",
+       "28  2024-03-01 23:44:22.992401  2024-03-02 00:32:22.717229     2879.724828  \n",
+       "29  2024-03-02 00:32:56.647685  2024-03-02 01:21:16.601588     2899.953903  \n",
+       "30  2024-03-02 01:21:51.146235  2024-03-02 02:10:03.001645     2891.855410  \n",
+       "31  2024-03-02 02:10:37.503017  2024-03-02 02:58:58.781540     2901.278523  \n",
+       "32  2024-03-02 02:59:33.529340  2024-03-02 03:47:53.242856     2899.713516  \n",
+       "33  2024-03-02 03:48:28.082701  2024-03-02 04:36:49.282679     2901.199978  \n",
+       "34  2024-03-02 04:37:24.473840  2024-03-02 05:25:46.421643     2901.947803  \n",
+       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
+       "36  2024-03-02 12:06:36.723048  2024-03-02 12:52:06.911076     2730.188028  \n",
+       "37  2024-03-02 12:52:41.386730  2024-03-02 13:38:08.702311     2727.315581  \n",
+       "38  2024-03-02 13:38:43.169393  2024-03-02 14:24:07.035968     2723.866575  \n",
+       "39  2024-03-02 14:24:41.621593  2024-03-02 15:10:02.266847     2720.645254  \n",
+       "40  2024-03-02 15:10:37.463800  2024-03-02 15:55:58.177609     2720.713809  \n",
+       "41  2024-03-02 15:56:33.260425  2024-03-02 16:41:53.547253     2720.286828  \n",
+       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  \n",
+       "43  2024-03-02 22:19:34.210268  2024-03-03 00:03:50.595418     6256.385150  \n",
+       "44  2024-03-03 00:04:25.094167  2024-03-03 01:48:24.496942     6239.402775  \n",
+       "45  2024-03-03 01:48:58.875873  2024-03-03 03:33:18.452389     6259.576516  \n",
+       "46  2024-03-03 03:33:53.143676  2024-03-03 05:18:02.300307     6249.156631  \n",
+       "47  2024-03-03 05:18:37.352944  2024-03-03 07:03:00.412589     6263.059645  \n",
+       "48  2024-03-03 07:03:35.811634  2024-03-03 08:47:47.289461     6251.477827  "
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -689,109 +811,6 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "    norm type        loss type noise type  loss value    L1 val  SSIM val  \\\n",
-       "0   batchnorm          L1 loss         0%    0.000692  0.001822  0.986341   \n",
-       "1   batchnorm          L1 loss         1%    0.000847  0.002272  0.980649   \n",
-       "2   batchnorm          L1 loss         3%    0.034894  0.033058  0.837907   \n",
-       "3   batchnorm          L1 loss         5%    0.000884  0.002287  0.981316   \n",
-       "4   batchnorm          L1 loss        10%    0.000995  0.002158  0.983206   \n",
-       "5   batchnorm          L1 loss        25%    0.034894  0.033058  0.837907   \n",
-       "6   batchnorm          L1 loss        50%    0.000658  0.002422  0.980730   \n",
-       "7   batchnorm        SSIM loss         0%    0.000074  0.001576  0.988050   \n",
-       "8   batchnorm        SSIM loss         1%    0.000041  0.001177  0.993077   \n",
-       "9   batchnorm        SSIM loss         3%    0.000065  0.000835  0.996840   \n",
-       "10  batchnorm        SSIM loss         5%    0.000037  0.001172  0.995717   \n",
-       "11  batchnorm        SSIM loss        10%    0.000045  0.001220  0.992088   \n",
-       "12  batchnorm        SSIM loss        25%    0.000059  0.001363  0.992128   \n",
-       "13  batchnorm        SSIM loss        50%    0.000032  0.001957  0.985109   \n",
-       "14  batchnorm         BCE loss         0%    0.000063  0.001647  0.982298   \n",
-       "15  batchnorm         BCE loss         1%    0.000046  0.000804  0.991994   \n",
-       "16  batchnorm         BCE loss         3%    0.000052  0.001052  0.989362   \n",
-       "17  batchnorm         BCE loss         5%    0.000043  0.000781  0.992885   \n",
-       "18  batchnorm         BCE loss        10%    0.000062  0.001204  0.987905   \n",
-       "19  batchnorm         BCE loss        25%    0.000039  0.001409  0.985240   \n",
-       "20  batchnorm         BCE loss        50%    0.000040  0.001822  0.982440   \n",
-       "21       none          L1 loss         0%    0.034894  0.033058  0.837907   \n",
-       "22       none          L1 loss         1%    0.022503  0.021582  0.893894   \n",
-       "23       none          L1 loss         3%    0.034894  0.033058  0.837907   \n",
-       "24       none          L1 loss         5%    0.034894  0.033058  0.837907   \n",
-       "25       none          L1 loss        10%    0.021568  0.021108  0.893477   \n",
-       "26       none          L1 loss        25%    0.034894  0.033058  0.837907   \n",
-       "27       none          L1 loss        50%    0.034894  0.033058  0.837907   \n",
-       "28       none        SSIM loss         0%    0.042762  0.009667  0.959061   \n",
-       "29       none        SSIM loss         1%    0.169404  0.033061  0.837907   \n",
-       "30       none        SSIM loss         3%    0.066293  0.013843  0.934669   \n",
-       "31       none        SSIM loss         5%    0.076803  0.015795  0.924746   \n",
-       "32       none        SSIM loss        10%    0.035031  0.008152  0.962686   \n",
-       "33       none        SSIM loss        25%    0.169404  0.033066  0.837907   \n",
-       "34       none        SSIM loss        50%    0.169403  0.033078  0.837907   \n",
-       "35       none         BCE loss         0%    0.000142  0.000051  0.999728   \n",
-       "36       none         BCE loss         1%    0.000016  0.000103  0.998866   \n",
-       "37       none         BCE loss         3%    0.000016  0.000071  0.999325   \n",
-       "38       none         BCE loss         5%    0.000022  0.000266  0.997313   \n",
-       "39       none         BCE loss        10%    0.000046  0.000803  0.991032   \n",
-       "40       none         BCE loss        25%    0.000053  0.000648  0.994242   \n",
-       "41       none         BCE loss        50%    0.000011  0.001171  0.986959   \n",
-       "42  batchnorm  SSIM + BCE loss         0%    0.000047  0.001838  0.980933   \n",
-       "43  batchnorm  SSIM + BCE loss         1%    0.000030  0.000916  0.991496   \n",
-       "44  batchnorm  SSIM + BCE loss         3%    0.000025  0.000444  0.996668   \n",
-       "45  batchnorm  SSIM + BCE loss         5%    0.000032  0.001030  0.990382   \n",
-       "46  batchnorm  SSIM + BCE loss        10%    0.000035  0.000869  0.991526   \n",
-       "47  batchnorm  SSIM + BCE loss        25%    0.000033  0.001545  0.984997   \n",
-       "48  batchnorm  SSIM + BCE loss        50%    0.000043  0.001632  0.983267   \n",
-       "\n",
-       "                    start time                    end time  duration (sec)  \n",
-       "0   2024-02-28 23:29:22.741161  2024-02-29 01:06:16.787702     5814.046541  \n",
-       "1   2024-02-29 01:06:50.851732  2024-02-29 02:44:46.981594     5876.129862  \n",
-       "2   2024-02-29 02:45:21.807343  2024-02-29 04:23:27.481336     5885.673993  \n",
-       "3   2024-02-29 04:24:02.208523  2024-02-29 06:02:14.555386     5892.346863  \n",
-       "4   2024-02-29 06:02:49.408318  2024-02-29 07:40:48.146197     5878.737879  \n",
-       "5   2024-02-29 07:41:23.222486  2024-02-29 09:19:24.931029     5881.708543  \n",
-       "6   2024-02-29 09:19:59.786525  2024-02-29 10:58:06.358221     5886.571696  \n",
-       "7   2024-02-29 11:05:24.038480  2024-02-29 12:48:05.178528     6161.140048  \n",
-       "8   2024-02-29 12:48:39.172592  2024-02-29 14:32:32.963633     6233.791041  \n",
-       "9   2024-02-29 14:33:07.644379  2024-02-29 16:18:46.687580     6339.043201  \n",
-       "10  2024-02-29 16:19:22.559483  2024-02-29 18:03:59.435317     6276.875834  \n",
-       "11  2024-02-29 18:04:35.183599  2024-02-29 19:48:17.554979     6222.371380  \n",
-       "12  2024-02-29 19:48:53.330984  2024-02-29 21:32:36.477638     6223.146654  \n",
-       "13  2024-02-29 21:33:12.472984  2024-02-29 23:16:50.492203     6218.019219  \n",
-       "14  2024-02-29 23:48:03.550295  2024-03-01 01:25:51.375010     5867.824715  \n",
-       "15  2024-03-01 01:26:25.542105  2024-03-01 03:04:39.244339     5893.702234  \n",
-       "16  2024-03-01 03:05:13.849902  2024-03-01 04:43:27.686822     5893.836920  \n",
-       "17  2024-03-01 04:44:02.421355  2024-03-01 06:22:15.206400     5892.785045  \n",
-       "18  2024-03-01 06:22:50.033465  2024-03-01 08:00:53.528541     5883.495076  \n",
-       "19  2024-03-01 08:01:28.449264  2024-03-01 09:39:54.570678     5906.121414  \n",
-       "20  2024-03-01 09:40:29.780687  2024-03-01 11:18:41.355554     5891.574867  \n",
-       "21  2024-03-01 11:52:57.023520  2024-03-01 12:37:48.419661     2691.396141  \n",
-       "22  2024-03-01 12:38:21.550502  2024-03-01 13:23:39.856372     2718.305870  \n",
-       "23  2024-03-01 13:24:14.677875  2024-03-01 14:09:35.000082     2720.322207  \n",
-       "24  2024-03-01 14:10:09.374174  2024-03-01 14:55:32.400475     2723.026301  \n",
-       "25  2024-03-01 14:56:07.095010  2024-03-01 15:41:29.083370     2721.988360  \n",
-       "26  2024-03-01 15:42:04.005717  2024-03-01 16:27:36.246395     2732.240678  \n",
-       "27  2024-03-01 16:28:11.163037  2024-03-01 17:13:33.075712     2721.912675  \n",
-       "28  2024-03-01 23:44:22.992401  2024-03-02 00:32:22.717229     2879.724828  \n",
-       "29  2024-03-02 00:32:56.647685  2024-03-02 01:21:16.601588     2899.953903  \n",
-       "30  2024-03-02 01:21:51.146235  2024-03-02 02:10:03.001645     2891.855410  \n",
-       "31  2024-03-02 02:10:37.503017  2024-03-02 02:58:58.781540     2901.278523  \n",
-       "32  2024-03-02 02:59:33.529340  2024-03-02 03:47:53.242856     2899.713516  \n",
-       "33  2024-03-02 03:48:28.082701  2024-03-02 04:36:49.282679     2901.199978  \n",
-       "34  2024-03-02 04:37:24.473840  2024-03-02 05:25:46.421643     2901.947803  \n",
-       "35  2024-03-02 11:21:11.978918  2024-03-02 12:06:03.418768     2691.439850  \n",
-       "36  2024-03-02 12:06:36.723048  2024-03-02 12:52:06.911076     2730.188028  \n",
-       "37  2024-03-02 12:52:41.386730  2024-03-02 13:38:08.702311     2727.315581  \n",
-       "38  2024-03-02 13:38:43.169393  2024-03-02 14:24:07.035968     2723.866575  \n",
-       "39  2024-03-02 14:24:41.621593  2024-03-02 15:10:02.266847     2720.645254  \n",
-       "40  2024-03-02 15:10:37.463800  2024-03-02 15:55:58.177609     2720.713809  \n",
-       "41  2024-03-02 15:56:33.260425  2024-03-02 16:41:53.547253     2720.286828  \n",
-       "42  2024-03-02 20:36:15.956414  2024-03-02 22:19:00.705427     6164.749013  \n",
-       "43  2024-03-02 22:19:34.210268  2024-03-03 00:03:50.595418     6256.385150  \n",
-       "44  2024-03-03 00:04:25.094167  2024-03-03 01:48:24.496942     6239.402775  \n",
-       "45  2024-03-03 01:48:58.875873  2024-03-03 03:33:18.452389     6259.576516  \n",
-       "46  2024-03-03 03:33:53.143676  2024-03-03 05:18:02.300307     6249.156631  \n",
-       "47  2024-03-03 05:18:37.352944  2024-03-03 07:03:00.412589     6263.059645  \n",
-       "48  2024-03-03 07:03:35.811634  2024-03-03 08:47:47.289461     6251.477827  "
       ]
      },
      "execution_count": 3,
@@ -799,11 +818,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "results = [pd.read_csv(f'{path}/results.csv', sep='\\t') for path in paths]\n",
-    "results = pd.concat(results).reset_index(drop=True)\n",
-    "results"
-   ]
+   "execution_count": 3
   },
   {
    "cell_type": "markdown",
@@ -819,10 +834,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
    "id": "6c98ad82",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-08-07T15:24:33.181206Z",
+     "start_time": "2025-08-07T15:24:33.165853Z"
+    }
+   },
    "source": [
     "def plot_bar_results(results: pd.DataFrame, \n",
     "                     figsize: tuple,\n",
@@ -848,7 +866,9 @@
     "    axes[1].grid()\n",
     "    \n",
     "    plt.show()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 4
   },
   {
    "cell_type": "code",
diff --git a/examples/usage_examples/preprocess_examples.ipynb b/examples/usage_examples/preprocess_examples.ipynb
index d56a697..58fa798 100644
--- a/examples/usage_examples/preprocess_examples.ipynb
+++ b/examples/usage_examples/preprocess_examples.ipynb
@@ -14,8 +14,8 @@
     "# not needed in case of `pip install`\n",
     "%run -i ../tools/setup_env.py"
    ],
-   "outputs": [],
-   "execution_count": 21
+   "execution_count": 21,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -60,8 +60,8 @@
     "# the first object is an animation class of the whole time series\n",
     "_, data = synthetic_time_series()"
    ],
-   "outputs": [],
-   "execution_count": 22
+   "execution_count": 22,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -75,16 +75,8 @@
    "source": [
     "print(f'Dataset len: {len(data)}, One matrix shape: {data[0].shape}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset len: 210, One matrix shape: (100, 100)\n"
-     ]
-    }
-   ],
-   "execution_count": 3
+   "execution_count": 3,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -104,8 +96,8 @@
     }
    },
    "source": "from torchcnnbuilder.preprocess import single_output_tensor",
-   "outputs": [],
-   "execution_count": 4
+   "execution_count": 4,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -148,17 +140,8 @@
     "dataset = single_output_tensor(data=data, \n",
     "                               forecast_len=30)"
    ],
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Julia\\Documents\\NSS_lab\\TorchCNNBuilder\\torchcnnbuilder\\preprocess\\_dynamic_window.py:47: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\\actions-runner\\_work\\pytorch\\pytorch\\builder\\windows\\pytorch\\torch\\csrc\\utils\\tensor_new.cpp:277.)\n",
-      "  tensors = torch.Tensor(data)\n"
-     ]
-    }
-   ],
-   "execution_count": 5
+   "execution_count": 5,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -174,17 +157,8 @@
     "for batch in dataset:\n",
     "    print(f'X shape: {batch[0].shape}\\nY shape: {batch[1].shape}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "X shape: torch.Size([180, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 6
+   "execution_count": 6,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -208,8 +182,8 @@
     "                               additional_x=data.copy(),\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 7
+   "execution_count": 7,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -224,17 +198,8 @@
     "for batch in dataset:\n",
     "    print(f'new stacked X shape: {batch[0].shape}\\nY shape: {batch[1].shape}') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "new stacked X shape: torch.Size([180, 2, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 8
+   "execution_count": 8,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -259,8 +224,8 @@
     "                               additional_x_stack=False,\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 9
+   "execution_count": 9,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -275,18 +240,8 @@
     "for batch in dataset:\n",
     "    print(f'X1 shape: {batch[0].shape}\\nX2 shape: {batch[1].shape}\\nY shape: {batch[2].shape}') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "X1 shape: torch.Size([180, 100, 100])\n",
-      "X2 shape: torch.Size([180, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 10
+   "execution_count": 10,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -311,8 +266,8 @@
     "                               additional_is_array=True,\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 11
+   "execution_count": 11,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -327,17 +282,8 @@
     "for batch in dataset:\n",
     "    print(f'new stacked X shape: {batch[0].shape}\\nY shape: {batch[1].shape}')  "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "new stacked X shape: torch.Size([180, 4, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 12
+   "execution_count": 12,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -365,16 +311,8 @@
     "\n",
     "print(f'data max: {noise_data.max()} | min: {noise_data.min()}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "data max: 4.590584973628572 | min: -3.8783458031707356\n"
-     ]
-    }
-   ],
-   "execution_count": 13
+   "execution_count": 13,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -393,8 +331,8 @@
     "                               threshold=0.5,\n",
     "                               x_binarize=True)"
    ],
-   "outputs": [],
-   "execution_count": 14
+   "execution_count": 14,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -411,20 +349,8 @@
     "          f'new stacked X max: {batch[0].max()} | min: {batch[0].min()}\\nY max: {batch[1].max()} | min: {batch[1].min()}',\n",
     "          sep='\\n\\n') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "new stacked X shape: torch.Size([180, 4, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n",
-      "\n",
-      "new stacked X max: 1.0 | min: 0.0\n",
-      "Y max: 1.0 | min: 0.0\n"
-     ]
-    }
-   ],
-   "execution_count": 15
+   "execution_count": 15,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -444,8 +370,8 @@
     }
    },
    "source": "from torchcnnbuilder.preprocess._dynamic_window import multi_output_tensor",
-   "outputs": [],
-   "execution_count": 16
+   "execution_count": 16,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -491,8 +417,8 @@
     "                              forecast_len=30,\n",
     "                              pre_history_len=60)"
    ],
-   "outputs": [],
-   "execution_count": 17
+   "execution_count": 17,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -513,24 +439,8 @@
     "        break\n",
     "print(f'Dataset len (number of batches/X-windows): {len(dataset)}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "batch number: 0\n",
-      "X shape: torch.Size([60, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n",
-      "\n",
-      "batch number: 1\n",
-      "X shape: torch.Size([60, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n",
-      "\n",
-      "Dataset len (number of batches/X-windows): 120\n"
-     ]
-    }
-   ],
-   "execution_count": 18
+   "execution_count": 18,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -558,8 +468,8 @@
     "                              threshold=0.5,\n",
     "                              x_binarize=True)"
    ],
-   "outputs": [],
-   "execution_count": 19
+   "execution_count": 19,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -581,28 +491,8 @@
     "        break\n",
     "print(f'Dataset len (number of batches/X-windows): {len(dataset)}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "batch number: 0\n",
-      "new stacked X shape: torch.Size([60, 4, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n",
-      "new stacked X max: 1.0 | min: 0.0\n",
-      "Y max: 1.0 | min: 0.0\n",
-      "\n",
-      "batch number: 1\n",
-      "new stacked X shape: torch.Size([60, 4, 100, 100])\n",
-      "Y shape: torch.Size([30, 100, 100])\n",
-      "new stacked X max: 1.0 | min: 0.0\n",
-      "Y max: 1.0 | min: 0.0\n",
-      "\n",
-      "Dataset len (number of batches/X-windows): 120\n"
-     ]
-    }
-   ],
-   "execution_count": 20
+   "execution_count": 20,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -614,8 +504,8 @@
     }
    },
    "source": [],
-   "outputs": [],
-   "execution_count": 19
+   "execution_count": 19,
+   "outputs": []
   }
  ],
  "metadata": {
diff --git a/examples/usage_examples/preprocess_examples_ru.ipynb b/examples/usage_examples/preprocess_examples_ru.ipynb
index fe38511..78611df 100644
--- a/examples/usage_examples/preprocess_examples_ru.ipynb
+++ b/examples/usage_examples/preprocess_examples_ru.ipynb
@@ -55,8 +55,8 @@
     "# первый объект - это класс анимации всего временного ряда\n",
     "_, data = synthetic_time_series()"
    ],
-   "outputs": [],
-   "execution_count": 1
+   "execution_count": 1,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -70,16 +70,8 @@
    "source": [
     "print(f'Длина набора данных: {len(data)}, Форма одной матрицы: {data[0].shape}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Длина набора данных: 210, Форма одной матрицы: (100, 100)\n"
-     ]
-    }
-   ],
-   "execution_count": 2
+   "execution_count": 2,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -99,8 +91,8 @@
     }
    },
    "source": "from torchcnnbuilder.preprocess import single_output_tensor",
-   "outputs": [],
-   "execution_count": 3
+   "execution_count": 3,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -144,17 +136,8 @@
     "dataset = single_output_tensor(data=data, \n",
     "                               forecast_len=30)"
    ],
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Julia\\Documents\\NSS_lab\\TorchCNNBuilder\\torchcnnbuilder\\preprocess\\_dynamic_window.py:47: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\\actions-runner\\_work\\pytorch\\pytorch\\builder\\windows\\pytorch\\torch\\csrc\\utils\\tensor_new.cpp:277.)\n",
-      "  tensors = torch.Tensor(data)\n"
-     ]
-    }
-   ],
-   "execution_count": 4
+   "execution_count": 4,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -170,17 +153,8 @@
     "for batch in dataset:\n",
     "    print(f'Форма X: {batch[0].shape}\\nФорма Y: {batch[1].shape}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Форма X: torch.Size([180, 100, 100])\n",
-      "Форма Y: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 5
+   "execution_count": 5,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -202,8 +176,8 @@
     "                               additional_x=data.copy(),\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 6
+   "execution_count": 6,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -218,17 +192,8 @@
     "for batch in dataset:\n",
     "    print(f'новая объединённая размерность X: {batch[0].shape}\\nРазмерность Y: {batch[1].shape}') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "новая объединённая размерность X: torch.Size([180, 2, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 8
+   "execution_count": 8,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -253,8 +218,8 @@
     "                               additional_x_stack=False,\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 10
+   "execution_count": 10,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -269,18 +234,8 @@
     "for batch in dataset:\n",
     "    print(f'Размерность X1: {batch[0].shape}\\nРазмерность X2: {batch[1].shape}\\nРазмерность Y: {batch[2].shape}') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Размерность X1: torch.Size([180, 100, 100])\n",
-      "Размерность X2: torch.Size([180, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 11
+   "execution_count": 11,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -305,8 +260,8 @@
     "                               additional_is_array=True,\n",
     "                               forecast_len=30)"
    ],
-   "outputs": [],
-   "execution_count": 12
+   "execution_count": 12,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -321,17 +276,8 @@
     "for batch in dataset:\n",
     "    print(f'новая объединённая Размерность X: {batch[0].shape}\\nРазмерность Y: {batch[1].shape}')  "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "новая объединённая Размерность X: torch.Size([180, 4, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n"
-     ]
-    }
-   ],
-   "execution_count": 13
+   "execution_count": 13,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -359,16 +305,8 @@
     "\n",
     "print(f'максимум данных: {noise_data.max()} | минимум: {noise_data.min()}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "максимум данных: 4.786741031089559 | минимум: -4.2005561798251305\n"
-     ]
-    }
-   ],
-   "execution_count": 14
+   "execution_count": 14,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -387,8 +325,8 @@
     "                               threshold=0.5,\n",
     "                               x_binarize=True)"
    ],
-   "outputs": [],
-   "execution_count": 15
+   "execution_count": 15,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -405,20 +343,8 @@
     "          f'новый объединённый X макс: {batch[0].max()} | мин: {batch[0].min()}\\nY макс: {batch[1].max()} | мин: {batch[1].min()}',\n",
     "          sep='\\n\\n') "
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "новая объединённая Размерность X: torch.Size([180, 4, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n",
-      "\n",
-      "новый объединённый X макс: 1.0 | мин: 0.0\n",
-      "Y макс: 1.0 | мин: 0.0\n"
-     ]
-    }
-   ],
-   "execution_count": 16
+   "execution_count": 16,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -438,8 +364,8 @@
     }
    },
    "source": "from torchcnnbuilder.preprocess import multi_output_tensor",
-   "outputs": [],
-   "execution_count": 17
+   "execution_count": 17,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -485,8 +411,8 @@
     "                              forecast_len=30,\n",
     "                              pre_history_len=60)"
    ],
-   "outputs": [],
-   "execution_count": 18
+   "execution_count": 18,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -507,24 +433,8 @@
     "        break\n",
     "print(f'Длина набора данных (количество батчей/X-окон): {len(dataset)}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "номер батча: 0\n",
-      "Размерность X: torch.Size([60, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n",
-      "\n",
-      "номер батча: 1\n",
-      "Размерность X: torch.Size([60, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n",
-      "\n",
-      "Длина набора данных (количество батчей/X-окон): 120\n"
-     ]
-    }
-   ],
-   "execution_count": 19
+   "execution_count": 19,
+   "outputs": []
   },
   {
    "cell_type": "markdown",
@@ -552,8 +462,8 @@
     "                              threshold=0.5,\n",
     "                              x_binarize=True)"
    ],
-   "outputs": [],
-   "execution_count": 20
+   "execution_count": 20,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -575,28 +485,8 @@
     "        break\n",
     "print(f'Длина набора данных (количество батчей/X-окон): {len(dataset)}')"
    ],
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "номер батча: 0\n",
-      "новая объединённая Размерность X: torch.Size([60, 4, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n",
-      "новый объединённый X макс: 1.0 | мин: 0.0\n",
-      "Y макс: 1.0 | мин: 0.0\n",
-      "\n",
-      "номер батча: 1\n",
-      "новая объединённая Размерность X: torch.Size([60, 4, 100, 100])\n",
-      "Размерность Y: torch.Size([30, 100, 100])\n",
-      "новый объединённый X макс: 1.0 | мин: 0.0\n",
-      "Y макс: 1.0 | мин: 0.0\n",
-      "\n",
-      "Длина набора данных (количество батчей/X-окон): 120\n"
-     ]
-    }
-   ],
-   "execution_count": 21
+   "execution_count": 21,
+   "outputs": []
   },
   {
    "cell_type": "code",
@@ -608,8 +498,8 @@
     }
    },
    "source": [],
-   "outputs": [],
-   "execution_count": 19
+   "execution_count": 19,
+   "outputs": []
   }
  ],
  "metadata": {