Merge pull request #1062 from NeuromatchAcademy/staging

Staging

Author: iamzoltan

book/_config.yml

@@ -18,7 +18,7 @@ execute:
   execute_notebooks         : force  # Whether to execute notebooks at build time. Must be one of ("auto", "force", "cache", "off")
   cache                     : ""  # A path to the jupyter cache that will be used to store execution artifacts. Defaults to `_build/.jupyter_cache/`
   exclude_patterns          : [projects/ComputerVision/*.ipynb, projects/ReinforcementLearning/*.ipynb, projects/Neuroscience/*.ipynb, projects/NaturalLanguageProcessing/*.ipynb]
-  timeout                   : 720  # The maximum time (in seconds) each notebook cell is allowed to run.
+  timeout                   : 1800  # The maximum time (in seconds) each notebook cell is allowed to run.
   run_in_temp               : false # If `True`, then a temporary directory will be created and used as the command working directory (cwd),
                                     # otherwise the notebook's parent directory will be the cwd.
   allow_errors              : true # If `False`, when a code cell raises an error the execution is stopped, otherwise all cells are always run.

requirements.txt

@@ -5,7 +5,7 @@ numpy>=2.0
 pandas>=2.2
 matplotlib>=3.9
 torch>=2.6
-torchvision>=0.21
+torchvision<0.24
 torchaudio>=2.6
 scikit-learn>=1.6
 scipy>=1.13

tutorials/W2D5_TimeSeriesAndNaturalLanguageProcessing/W2D5_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "4f51095f",
+   "id": "a65b0859",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -113,11 +113,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install nltk --quiet\n",
-    "!pip install fasttext --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install -U tokenizers --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install nltk --quiet\n",
+    "# !pip install fasttext --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install -U tokenizers==0.22.2 --quiet"
    ]
   },
   {
@@ -1764,7 +1764,7 @@
    "source": [
     "tokenizer = get_tokenizer(fasttext_vocab)\n",
     "num_class, train_data, valid_data, test_data = load_dataset(\n",
-    "  \"fancyzhx/ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
+    "  \"ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
     ")\n",
     "hidden_size = 128\n",
     "embedding_length = fasttext_vectors.size(1)  # 300\n",
@@ -1910,7 +1910,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorials/W2D5_TimeSeriesAndNaturalLanguageProcessing/instructor/W2D5_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "9e62340e",
+   "id": "760a5442",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -113,11 +113,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install nltk --quiet\n",
-    "!pip install fasttext --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install -U tokenizers --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install nltk --quiet\n",
+    "# !pip install fasttext --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install -U tokenizers==0.22.2 --quiet"
    ]
   },
   {
@@ -1766,7 +1766,7 @@
    "source": [
     "tokenizer = get_tokenizer(fasttext_vocab)\n",
     "num_class, train_data, valid_data, test_data = load_dataset(\n",
-    "  \"fancyzhx/ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
+    "  \"ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
     ")\n",
     "hidden_size = 128\n",
     "embedding_length = fasttext_vectors.size(1)  # 300\n",
@@ -1912,7 +1912,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorials/W2D5_TimeSeriesAndNaturalLanguageProcessing/student/W2D5_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "bcd0131c",
+   "id": "8626dc97",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -113,11 +113,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install nltk --quiet\n",
-    "!pip install fasttext --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install -U tokenizers --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install nltk --quiet\n",
+    "# !pip install fasttext --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install -U tokenizers==0.22.2 --quiet"
    ]
   },
   {
@@ -1686,7 +1686,7 @@
    "source": [
     "tokenizer = get_tokenizer(fasttext_vocab)\n",
     "num_class, train_data, valid_data, test_data = load_dataset(\n",
-    "  \"fancyzhx/ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
+    "  \"ag_news\", tokenizer, device=DEVICE, seed=1, batch_size=32, valid_split=0.7\n",
     ")\n",
     "hidden_size = 128\n",
     "embedding_length = fasttext_vectors.size(1)  # 300\n",
@@ -1832,7 +1832,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorials/W3D1_AttentionAndTransformers/W3D1_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "dd45a284",
+   "id": "b0c8af02",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -116,11 +116,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install tensorboard --quiet\n",
-    "!pip install -U transformers --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install fasttext --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install tensorboard --quiet\n",
+    "# !pip install -U transformers --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install fasttext --quiet"
    ]
   },
   {
@@ -2852,7 +2852,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorials/W3D1_AttentionAndTransformers/instructor/W3D1_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "ebad91d4",
+   "id": "0bcb7794",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -116,11 +116,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install tensorboard --quiet\n",
-    "!pip install -U transformers --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install fasttext --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install tensorboard --quiet\n",
+    "# !pip install -U transformers --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install fasttext --quiet"
    ]
   },
   {
@@ -2860,7 +2860,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {

tutorials/W3D1_AttentionAndTransformers/student/W3D1_Tutorial1.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d467cfb2",
+   "id": "080759fb",
    "metadata": {
     "colab_type": "text",
     "execution": {},
@@ -116,11 +116,11 @@
    },
    "outputs": [],
    "source": [
-    "# @title Install dependencies\n",
-    "!pip install tensorboard --quiet\n",
-    "!pip install -U transformers --quiet\n",
-    "!pip install -U datasets --quiet\n",
-    "!pip install fasttext --quiet"
+    "# @title Uncomment to install dependencies\n",
+    "# !pip install tensorboard --quiet\n",
+    "# !pip install -U transformers --quiet\n",
+    "# !pip install -U datasets --quiet\n",
+    "# !pip install fasttext --quiet"
    ]
   },
   {
@@ -2555,7 +2555,8 @@
    "name": "python3"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "nma-dl",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {