Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

PyTorch Tutorial for Deep Learning Researchers

Best Practices on Recommendation Systems

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Ongoing research training transformer models at scale

JAX accelerated Quantum Monte Carlo