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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Awesome-LLM: a curated list of Large Language Model

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Flax is a neural network library for JAX that is designed for flexibility.

Scenic: A Jax Library for Computer Vision Research and Beyond

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Awesome Reasoning LLM Tutorial/Survey/Guide

Optax is a gradient processing and optimization library for JAX.

JAX - A curated list of resources https://github.com/google/jax

List of papers related to neural network quantization in recent AI conferences and journals.

A collection of AI Agents papers (Updated biweekly)

Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

Library for reading and processing ML training data.

<Foundations of Computer Vision> Book

Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

Academic Papers about LLM Application on Security

Collection of papers using LLaMA as backbone model

AI Safety and Alignment