Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Optax is a gradient processing and optimization library for JAX.
Flax is a neural network library for JAX that is designed for flexibility.
Scenic: A Jax Library for Computer Vision Research and Beyond
Library for reading and processing ML training data.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
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
Awesome Reasoning LLM Tutorial/Survey/Guide
<Foundations of Computer Vision> Book
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
JAX - A curated list of resources https://github.com/google/jax
Awesome-LLM: a curated list of Large Language Model
Academic Papers about LLM Application on Security
Collection of papers using LLaMA as backbone model
List of papers related to neural network quantization in recent AI conferences and journals.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.