A resource for learning about Machine learning & Deep Learning

Implement well-known NLP models from scratch with high-level APIs.

A comprehensive resource to master PyTorch, from basics to advanced techniques, for deep learning enthusiasts and practitioners

Taking a latex glove to PyTorch internals

PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.

my deep learning, data science and machine learning practices

A handful of Deep learning implementation using a hot new framework: PyTorch

Efficient Mobilenets with Lambda layers.

Binding C++ to PyTorch and extending PyTorch

Production-ready AI/ML code patterns for Claude, GPT & Gemini - 590 Python snippets, 264 Mermaid diagrams, 99.3% quality with LLM-optimized context

A brief explanation on Pytorch CrossEntropyLoss written really quick in Jupyter Notebook.