Welcome to the TensorFlow Projects Hub — a curated, continually expanding repository of deep learning projects built with TensorFlow and Keras.
This hub is crafted for practitioners, researchers, and students to learn, teach, replicate, and innovate on real-world datasets using battle-tested architectures and educational clarity.
This repo offers:
- End-to-End ML Projects – Regression, classification, image recognition
- Paper Replications – ResNet, DenseNet, Wide ResNet in TensorFlow
- Educational Models – Simplified for fast learning and experimentation
- Full Pipeline Visualizations – EDA, training metrics, ROC, confusion matrix
- Best Practices – Preprocessing, training, evaluation, modular design
All projects are well-documented and beginner-friendly without sacrificing architectural depth.
TensorFlow-Projects-Hub/
├── classification/
│ ├── wine_classification_tensorflow.py
│ ├── mnist_classification_resnet.py
│ └── cifar10_wide_resnet.py
├── regression/
│ └── california_housing_regression.py
├── paper_replications/
│ ├── resnet_paper_replicated.py
│ ├── wide_resnet_paper_replicated.py
│ └── densenet_paper_replicated.py
├── notebooks/
│ └── [Jupyter notebooks for interactive use]
├── README.md
└── requirements.txt