diffrax by patrick-kidger

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

created at July 25, 2021, 11:42 p.m.

Python

20 +0

1,242 +8

110 +0

GitHub
fourier-feature-networks by tancik

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

created at June 16, 2020, 11:54 p.m.

Jupyter Notebook

24 +0

1,188 +1

125 +0

GitHub
rlax by deepmind

None

created at Feb. 18, 2020, 7:14 a.m.

Python

34 +0

1,186 +3

83 +0

GitHub
jax-md by jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics

created at May 13, 2019, 9:03 p.m.

Jupyter Notebook

46 +0

1,093 +1

175 +2

GitHub
jaxopt by google

Hardware accelerated, batchable and differentiable optimizers in JAX.

created at July 12, 2021, 5:16 p.m.

Python

19 +0

889 +0

58 +0

GitHub
mipnerf by google

None

created at May 14, 2021, 4:01 p.m.

Python

18 +0

881 +2

107 +0

GitHub
fortuna by awslabs

A Library for Uncertainty Quantification.

created at Nov. 17, 2022, 1:11 p.m.

Python

12 +0

855 +4

45 +0

GitHub
evojax by google

None

created at Dec. 7, 2021, 12:30 a.m.

Jupyter Notebook

23 +0

788 +2

69 +0

GitHub
objax by google

None

created at Aug. 20, 2020, 6:20 a.m.

Python

26 +0

761 +1

79 +0

GitHub
blackjax by blackjax-devs

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

created at Dec. 9, 2020, 8:12 a.m.

Python

14 +0

727 +1

90 +0

GitHub
chex by deepmind

None

created at Aug. 6, 2020, 9:32 a.m.

Python

17 +0

716 +2

40 +0

GitHub
jaxrl by ikostrikov

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

created at Jan. 16, 2021, 1:26 a.m.

Jupyter Notebook

12 +0

579 +2

62 +0

GitHub
purejaxrl by luchris429

Really Fast End-to-End Jax RL Implementations

created at Feb. 25, 2023, 3:38 p.m.

Python

12 +0

568 +9

46 +0

GitHub
get-started-with-JAX by gordicaleksa

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.

created at Oct. 28, 2021, 8 p.m.

Jupyter Notebook

8 +0

565 +7

92 +1

GitHub
jumanji by instadeepai

🕹ī¸ A diverse suite of scalable reinforcement learning environments in JAX

created at Aug. 11, 2022, 7:34 a.m.

Python

10 +0

528 +4

66 +0

GitHub
gymnax by RobertTLange

RL Environments in JAX 🌍

created at Dec. 26, 2020, 2:35 p.m.

Python

10 +0

527 +4

48 +1

GitHub
distrax by deepmind

None

created at April 1, 2021, 5:03 p.m.

Python

17 +0

509 +1

32 +0

GitHub
netket by netket

Machine learning algorithms for many-body quantum systems

created at April 23, 2018, 6:48 p.m.

Python

25 +0

502 +1

171 +0

GitHub
BrainPy by brainpy

Brain Dynamics Programming in Python

created at July 16, 2020, 2:11 a.m.

Python

12 +0

479 +4

87 +0

GitHub
ott by ott-jax

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

created at Dec. 24, 2021, 7:28 a.m.

Python

10 +0

456 +0

79 +13

GitHub