flax

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Flax Engine – multi-platform 3D game engine

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

From the Tensor to Stable Diffusion, a rough outline for a 1 week course.

A Library for Uncertainty Quantification.

Long Range Arena for Benchmarking Efficient Transformers

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.

Original Implementation of Prompt Tuning from Lester, et al, 2021

Orbax provides common checkpointing and persistence utilities for JAX users

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

CLU lets you write beautiful training loops in JAX.

A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

Train very large language models in Jax.

Unofficial JAX implementations of deep learning research papers

Clean single-file implementation of offline RL algorithms in JAX