Master programming by recreating your favorite technologies from scratch.

A playbook for systematically maximizing the performance of deep learning models.

Neural Networks: Zero to Hero

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.

The Hitchiker's Guide to PyTorch

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Development repository for the Triton language and compiler

Run TensorFlow models in C++ without installation and without Bazel

C++ Implementation of PyTorch Tutorials for Everyone

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

This repository contains implementations and illustrative code to accompany DeepMind publications

NPTEL DSA programs discussed in video lectures. Dr. Naveen Garg

It counts how many times your GitHub profile has been viewed. Free cloud micro-service.

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

The fastai book, published as Jupyter Notebooks

Fundamentals of the Rust language

18.06 course at MIT

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The Go programming language

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

A Julia machine learning framework

Debug PyTorch code using PySnooper

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Full Stack Deep Learning Online Course

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!