# Track Awesome Jax Updates Daily

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

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## Nov 16, 2022

Libraries / New Libraries

- econpizza (⭐12) - Solve macroeconomic models with hetereogeneous agents using JAX.

## Oct 17, 2022

Models and Projects / NumPyro

- lqg (⭐12) - Official implementation of Bayesian inverse optimal control for linear-quadratic Gaussian problems from the paper
*Putting perception into action with inverse optimal control for continuous psychophysics*

## Sep 05, 2022

Libraries / New Libraries

- JAXFit (⭐11) - Accelerated curve fitting library for nonlinear least-squares problems (see arXiv paper).

## Sep 03, 2022

Libraries / New Libraries

- Eqxvision (⭐50) - Equinox version of Torchvision.

## Sep 02, 2022

Libraries / New Libraries

- GPJax (⭐180) - Gaussian processes in JAX.

- Jumanji (⭐166) - A Suite of Industry-Driven Hardware-Accelerated RL Environments written in JAX.

## Aug 31, 2022

Models and Projects / Flax

- Sharpened Cosine Similarity in JAX by Raphael Pisoni - A JAX/Flax implementation of the Sharpened Cosine Similarity layer.

Tutorials and Blog Posts / NumPyro

- Writing a Training Loop in JAX + FLAX by Saurav Maheshkar and Soumik Rakshit - A tutorial on writing a simple end-to-end training and evaluation pipeline in JAX, Flax and Optax.

- Implementing NeRF in JAX by Soumik Rakshit and Saurav Maheshkar - A tutorial on 3D volumetric rendering of scenes represented by Neural Radiance Fields in JAX.

- Deep Learning tutorials with JAX+Flax by Phillip Lippe - A series of notebooks explaining various deep learning concepts, from basics (e.g. intro to JAX/Flax, activiation functions) to recent advances (e.g., Vision Transformers, SimCLR), with translations to PyTorch.

## Aug 26, 2022

Books / NumPyro

- Jax in Action - A hands-on guide to using JAX for deep learning and other mathematically-intensive applications.

## Aug 09, 2022

Libraries / New Libraries

- jwave (⭐40) - A library for differentiable acoustic simulations

## Jun 28, 2022

Libraries / New Libraries

- Mctx (⭐474) - Monte Carlo tree search algorithms in native JAX.

- KFAC-JAX (⭐85) - Second Order Optimization with Approximate Curvature for NNs.

- TF2JAX (⭐55) - Convert functions/graphs to JAX functions.

## Jun 25, 2022

Libraries / New Libraries

- gymnax (⭐251) - Reinforcement Learning Environments with the well-known gym API.

## Mar 15, 2022

Libraries / New Libraries

- tinygp (⭐174) - The
*tiniest*of Gaussian process libraries in JAX.

## Mar 14, 2022

Libraries / New Libraries

- Einshape (⭐61) - DSL-based reshaping library for JAX and other frameworks.

- ALX (⭐26k) - Open-source library for distributed matrix factorization using Alternating Least Squares, more info in
*ALX: Large Scale Matrix Factorization on TPUs*.

- Diffrax (⭐672) - Numerical differential equation solvers in JAX.

Models and Projects / JAX

- Symbolic Functionals (⭐26k) - Demonstration from
*Evolving symbolic density functionals*.

- TriMap (⭐26k) - Official JAX implementation of
*TriMap: Large-scale Dimensionality Reduction Using Triplets*.

Models and Projects / Flax

- mip-NeRF (⭐590) - Official implementation of
*Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields*.

- RegNeRF (⭐26k) - Official implementation of
*RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs*.

- ARDM (⭐26k) - Official implementation of
*Autoregressive Diffusion Models*.

- D3PM (⭐26k) - Official implementation of
*Structured Denoising Diffusion Models in Discrete State-Spaces*.

- Gumbel-max Causal Mechanisms (⭐26k) - Code for
*Learning Generalized Gumbel-max Causal Mechanisms*, with extra code in GuyLor/gumbel_max_causal_gadgets_part2 (⭐0).

- Latent Programmer (⭐26k) - Code for the ICML 2021 paper
*Latent Programmer: Discrete Latent Codes for Program Synthesis*.

- SNeRG (⭐26k) - Official implementation of
*Baking Neural Radiance Fields for Real-Time View Synthesis*.

- Spin-weighted Spherical CNNs (⭐26k) - Adaptation of
*Spin-Weighted Spherical CNNs*.

- VDVAE (⭐26k) - Adaptation of
*Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images*, original code at openai/vdvae (⭐370).

- MUSIQ (⭐26k) - Checkpoints and model inference code for the ICCV 2021 paper
*MUSIQ: Multi-scale Image Quality Transformer*

- AQuaDem (⭐26k) - Official implementation of
*Continuous Control with Action Quantization from Demonstrations*.

- Combiner (⭐26k) - Official implementation of
*Combiner: Full Attention Transformer with Sparse Computation Cost*.

- Dreamfields (⭐26k) - Official implementation of the ICLR 2022 paper
*Progressive Distillation for Fast Sampling of Diffusion Models*.

- GIFT (⭐26k) - Official implementation of
*Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent*.

- Light Field Neural Rendering (⭐26k) - Official implementation of
*Light Field Neural Rendering*.

## Mar 04, 2022

Libraries / New Libraries

- Neural Network Libraries
- FedJAX (⭐205) - Federated learning in JAX, built on Optax and Haiku.
- Equivariant MLP (⭐196) - Construct equivariant neural network layers.
- jax-resnet (⭐78) - Implementations and checkpoints for ResNet variants in Flax.
- Parallax (⭐156) - Immutable Torch Modules for JAX.

## Feb 24, 2022

Libraries / New Libraries

- SymJAX (⭐105) - Symbolic CPU/GPU/TPU programming.

- mcx (⭐327) - Express & compile probabilistic programs for performant inference.

## Feb 22, 2022

Libraries / New Libraries

- evosax (⭐209) - JAX-Based Evolution Strategies

## Feb 18, 2022

Libraries / New Libraries

- EvoJAX (⭐573) - Hardware-Accelerated Neuroevolution

## Feb 12, 2022

Tutorials and Blog Posts / NumPyro

- Get started with JAX by Aleksa Gordić (⭐358) - A series of notebooks and videos going from zero JAX knowledge to building neural networks in Haiku.

## Feb 11, 2022

Libraries / New Libraries

- PGMax (⭐58) - A framework for building discrete Probabilistic Graphical Models (PGM's) and running inference inference on them via JAX.

## Jan 24, 2022

Libraries / New Libraries

- tree-math (⭐134) - Convert functions that operate on arrays into functions that operate on PyTrees.

- jax-models (⭐100) - Implementations of research papers originally without code or code written with frameworks other than JAX.

## Jan 03, 2022

Tutorials and Blog Posts / NumPyro

- Introduction to JAX by Kevin Murphy - Colab that introduces various aspects of the language and applies them to simple ML problems.

## Dec 31, 2021

Models and Projects / Haiku

- Two Player Auction Learning (⭐2) - JAX implementation of the paper
*Auction learning as a two-player game*.

## Nov 13, 2021

Libraries / New Libraries

- JaxDF (⭐63) - Framework for differentiable simulators with arbitrary discretizations.

## Sep 12, 2021

Libraries / New Libraries

- bayex (⭐36) - Bayesian Optimization powered by JAX.

## Aug 10, 2021

Libraries

- Neural Network Libraries
- Flax (⭐3.7k) - Centered on flexibility and clarity.
- Haiku (⭐2.2k) - Focused on simplicity, created by the authors of Sonnet at DeepMind.
- Objax (⭐721) - Has an object oriented design similar to PyTorch.
- Elegy - A High Level API for Deep Learning in JAX. Supports Flax, Haiku, and Optax.
- Trax (⭐7.2k) - "Batteries included" deep learning library focused on providing solutions for common workloads.
- Jraph (⭐1.1k) - Lightweight graph neural network library.
- Neural Tangents (⭐1.9k) - High-level API for specifying neural networks of both finite and
*infinite*width. - HuggingFace (⭐74k) - Ecosystem of pretrained Transformers for a wide range of natural language tasks (Flax).
- Equinox (⭐863) - Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.

## Jul 30, 2021

Models and Projects / JAX

- Amortized Bayesian Optimization (⭐26k) - Code related to
*Amortized Bayesian Optimization over Discrete Spaces*.

- Accurate Quantized Training (⭐26k) - Tools and libraries for running and analyzing neural network quantization experiments in JAX and Flax.

- BNN-HMC (⭐26k) - Implementation for the paper
*What Are Bayesian Neural Network Posteriors Really Like?*.

- JAX-DFT (⭐26k) - One-dimensional density functional theory (DFT) in JAX, with implementation of
*Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics*.

- Robust Loss (⭐26k) - Reference code for the paper
*A General and Adaptive Robust Loss Function*.

Models and Projects / Flax

- Performer (⭐26k) - Flax implementation of the Performer (linear transformer via FAVOR+) architecture.

- JaxNeRF (⭐26k) - Implementation of
*NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis*with multi-device GPU/TPU support.

- Big Transfer (BiT) (⭐1.4k) - Implementation of
*Big Transfer (BiT): General Visual Representation Learning*.

- JAX RL (⭐395) - Implementations of reinforcement learning algorithms.

- gMLP (⭐2) - Implementation of
*Pay Attention to MLPs*.

- MLP Mixer (⭐8) - Minimal implementation of
*MLP-Mixer: An all-MLP Architecture for Vision*.

- Distributed Shampoo (⭐26k) - Implementation of
*Second Order Optimization Made Practical*.

- NesT (⭐166) - Official implementation of
*Aggregating Nested Transformers*.

- XMC-GAN (⭐94) - Official implementation of
*Cross-Modal Contrastive Learning for Text-to-Image Generation*.

- FNet (⭐26k) - Official implementation of
*FNet: Mixing Tokens with Fourier Transforms*.

- GFSA (⭐26k) - Official implementation of
*Learning Graph Structure With A Finite-State Automaton Layer*.

- IPA-GNN (⭐26k) - Official implementation of
*Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks*.

- Flax Models (⭐26k) - Collection of models and methods implemented in Flax.

- Protein LM (⭐26k) - Implements BERT and autoregressive models for proteins, as described in
*Biological Structure and Function Emerge from Scaling Unsupervised Learning to 250 Million Protein Sequences*and*ProGen: Language Modeling for Protein Generation*.

- Slot Attention (⭐26k) - Reference implementation for
*Differentiable Patch Selection for Image Recognition*.

- Vision Transformer (⭐6.2k) - Official implementation of
*An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale*.

- FID computation (⭐13) - Port of mseitzer/pytorch-fid (⭐2k) to Flax.

Models and Projects / Haiku

- AlphaFold (⭐9.5k) - Implementation of the inference pipeline of AlphaFold v2.0, presented in
*Highly accurate protein structure prediction with AlphaFold*.

- Adversarial Robustness (⭐11k) - Reference code for
*Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples*and*Fixing Data Augmentation to Improve Adversarial Robustness*.

- Bootstrap Your Own Latent (⭐11k) - Implementation for the paper
*Bootstrap your own latent: A new approach to self-supervised Learning*.

- Gated Linear Networks (⭐11k) - GLNs are a family of backpropagation-free neural networks.

- Glassy Dynamics (⭐11k) - Open source implementation of the paper
*Unveiling the predictive power of static structure in glassy systems*.

- MMV (⭐11k) - Code for the models in
*Self-Supervised MultiModal Versatile Networks*.

- Normalizer-Free Networks (⭐11k) - Official Haiku implementation of
*NFNets*.

- NuX (⭐75) - Normalizing flows with JAX.

- OGB-LSC (⭐11k) - This repository contains DeepMind's entry to the PCQM4M-LSC (quantum chemistry) and MAG240M-LSC (academic graph) tracks of the OGB Large-Scale Challenge (OGB-LSC).

- Persistent Evolution Strategies (⭐26k) - Code used for the paper
*Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies*.

- WikiGraphs (⭐11k) - Baseline code to reproduce results in
*WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Datase*.

Models and Projects / Trax

- Reformer (⭐7.2k) - Implementation of the Reformer (efficient transformer) architecture.

Videos / NumPyro

- JAX, Flax & Transformers 🤗 (⭐74k) - 3 days of talks around JAX / Flax, Transformers, large-scale language modeling and other great topics.

## Jul 19, 2021

Libraries / New Libraries

- JAXopt (⭐596) - Hardware accelerated (GPU/TPU), batchable and differentiable optimizers in JAX.

- PIX (⭐288) - PIX is an image processing library in JAX, for JAX.

## Jul 14, 2021

Libraries

- NetKet (⭐397) - Machine Learning toolbox for Quantum Physics.

## Jun 13, 2021

Libraries / New Libraries

- exojax (⭐26) - Automatic differentiable spectrum modeling of exoplanets/brown dwarfs compatible to JAX.

## Jun 12, 2021

Libraries / New Libraries

- CR.Sparse (⭐48) - XLA accelerated algorithms for sparse representations and compressive sensing.

## Jun 09, 2021

Tutorials and Blog Posts / NumPyro

- Writing an MCMC sampler in JAX by Jeremie Coullon - Tutorial on the different ways to write an MCMC sampler in JAX along with speed benchmarks.

- How to add a progress bar to JAX scans and loops by Jeremie Coullon - Tutorial on how to add a progress bar to compiled loops in JAX using the
`host_callback`

module.

## Jun 07, 2021

Libraries / New Libraries

- flaxmodels (⭐162) - Pretrained models for Jax/Flax.

## Jun 06, 2021

Libraries / New Libraries

- jaxlie (⭐152) - Lie theory library for rigid body transformations and optimization.

- BRAX (⭐1.4k) - Differentiable physics engine to simulate environments along with learning algorithms to train agents for these environments.

## May 30, 2021

Libraries / New Libraries

- delta PV (⭐41) - A photovoltaic simulator with automatic differentation.

## May 21, 2021

Libraries

- Coax (⭐118) - Turn RL papers into code, the easy way.

## Apr 26, 2021

Libraries

- Distrax (⭐370) - Reimplementation of TensorFlow Probability, containing probability distributions and bijectors.

- cvxpylayers (⭐1.4k) - Construct differentiable convex optimization layers.

- TensorLy (⭐1.3k) - Tensor learning made simple.

## Mar 21, 2021

Libraries / New Libraries

- Optimal Transport Tools (⭐217) - Toolbox that bundles utilities to solve optimal transport problems.

## Mar 07, 2021

Libraries

- RLax (⭐936) - Library for implementing reinforcement learning agents.

## Mar 03, 2021

Libraries / New Libraries

- FlaxVision (⭐39) - Flax version of TorchVision.

- Oryx (⭐3.8k) - Probabilistic programming language based on program transformations.

Videos / NumPyro

- Solving y=mx+b with Jax on a TPU Pod slice - Mat Kelcey - A four part YouTube tutorial series with Colab notebooks that starts with Jax fundamentals and moves up to training with a data parallel approach on a v3-32 TPU Pod slice.

Tutorials and Blog Posts / NumPyro

- Deterministic ADVI in JAX by Martin Ingram - Walk through of implementing automatic differentiation variational inference (ADVI) easily and cleanly with JAX.

- Evolved channel selection by Mat Kelcey - Trains a classification model robust to different combinations of input channels at different resolutions, then uses a genetic algorithm to decide the best combination for a particular loss.

## Feb 22, 2021

Libraries / New Libraries

- imax (⭐30) - Image augmentations and transformations.

## Feb 08, 2021

Tutorials and Blog Posts / NumPyro

- Exploring hyperparameter meta-loss landscapes with JAX by Luke Metz - Demonstrates how to use JAX to perform inner-loss optimization with SGD and Momentum, outer-loss optimization with gradients, and outer-loss optimization using evolutionary strategies.

## Feb 07, 2021

Tutorials and Blog Posts / NumPyro

- Evolving Neural Networks in JAX by Robert Tjarko Lange - Explores how JAX can power the next generation of scalable neuroevolution algorithms.

## Feb 03, 2021

Tutorials and Blog Posts / NumPyro

- Out of distribution (OOD) detection by Mat Kelcey - Implements different methods for OOD detection.

- Extending JAX with custom C++ and CUDA code by Dan Foreman-Mackey (⭐237) - Tutorial demonstrating the infrastructure required to provide custom ops in JAX.

## Jan 29, 2021

Libraries

- NumPyro (⭐1.6k) - Probabilistic programming based on the Pyro library.

- Chex (⭐491) - Utilities to write and test reliable JAX code.

- Optax (⭐913) - Gradient processing and optimization library.

- JAX, M.D. (⭐833) - Accelerated, differential molecular dynamics.

Libraries / New Libraries

- jax-unirep (⭐92) - Library implementing the UniRep model for protein machine learning applications.

- jax-cosmo (⭐109) - Differentiable cosmology library.

Videos / NumPyro

- Introduction to JAX - Simple neural network from scratch in JAX.

Papers / NumPyro

**Compiling machine learning programs via high-level tracing**. Roy Frostig, Matthew James Johnson, Chris Leary.*MLSys 2018*. - White paper describing an early version of JAX, detailing how computation is traced and compiled.

Tutorials and Blog Posts / NumPyro

- Plugging Into JAX by Nick Doiron - Compares Flax, Haiku, and Objax on the Kaggle flower classification challenge.

## Jan 23, 2021

Models and Projects / JAX

- Fourier Feature Networks (⭐908) - Official implementation of
*Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains*.

Videos / NumPyro

- NeurIPS 2020: JAX Ecosystem Meetup - JAX, its use at DeepMind, and discussion between engineers, scientists, and JAX core team.

- JAX: Accelerated Machine Learning Research | SciPy 2020 | VanderPlas - JAX's core design, how it's powering new research, and how you can start using it.

- Bayesian Programming with JAX + NumPyro — Andy Kitchen - Introduction to Bayesian modelling using NumPyro.

- JAX on Cloud TPUs | NeurIPS 2020 | Skye Wanderman-Milne and James Bradbury - Presentation of TPU host access with demo.

- Deep Implicit Layers - Neural ODEs, Deep Equilibirum Models, and Beyond | NeurIPS 2020 - Tutorial created by Zico Kolter, David Duvenaud, and Matt Johnson with Colab notebooks avaliable in
*Deep Implicit Layers*.

Papers / NumPyro

**JAX, M.D.: A Framework for Differentiable Physics**. Samuel S. Schoenholz, Ekin D. Cubuk.*NeurIPS 2020*. - Introduces JAX, M.D., a differentiable physics library which includes simulation environments, interaction potentials, neural networks, and more.

**Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization**. Pranav Subramani, Nicholas Vadivelu, Gautam Kamath.*arXiv 2020*. - Uses JAX's JIT and VMAP to achieve faster differentially private than existing libraries.

Tutorials and Blog Posts / NumPyro

- Using JAX to accelerate our research by David Budden and Matteo Hessel - Describes the state of JAX and the JAX ecosystem at DeepMind.

- Getting started with JAX (MLPs, CNNs & RNNs) by Robert Lange - Neural network building blocks from scratch with the basic JAX operators.

- Tutorial: image classification with JAX and Flax Linen by 8bitmp3 (⭐18) - Learn how to create a simple convolutional network with the Linen API by Flax and train it to recognize handwritten digits.

- Meta-Learning in 50 Lines of JAX by Eric Jang - Introduction to both JAX and Meta-Learning.

- Normalizing Flows in 100 Lines of JAX by Eric Jang - Concise implementation of RealNVP.

- Differentiable Path Tracing on the GPU/TPU by Eric Jang - Tutorial on implementing path tracing.

- Ensemble networks by Mat Kelcey - Ensemble nets are a method of representing an ensemble of models as one single logical model.

- Understanding Autodiff with JAX by Srihari Radhakrishna - Understand how autodiff works using JAX.

- From PyTorch to JAX: towards neural net frameworks that purify stateful code by Sabrina J. Mielke - Showcases how to go from a PyTorch-like style of coding to a more Functional-style of coding.

## Jan 05, 2021

Libraries / New Libraries

- mpi4jax (⭐229) - Combine MPI operations with your Jax code on CPUs and GPUs.

## Dec 28, 2020

Libraries / New Libraries

- jax-flows (⭐221) - Normalizing flows in JAX.

- sklearn-jax-kernels (⭐32) -
`scikit-learn`

kernel matrices using JAX.

- efax (⭐36) - Exponential Families in JAX.

Models and Projects / JAX

- kalman-jax (⭐82) - Approximate inference for Markov (i.e., temporal) Gaussian processes using iterated Kalman filtering and smoothing.

- jaxns (⭐77) - Nested sampling in JAX.

## Dec 21, 2020

Videos / NumPyro

- JAX: Accelerated machine-learning research via composable function transformations in Python | NeurIPS 2019 | Skye Wanderman-Milne - JAX intro presentation in
*Program Transformations for Machine Learning*workshop.

## Dec 20, 2020

Community / NumPyro