| Name | Version | Summary | date |
| dm-reverb |
0.14.0 |
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research. |
2023-12-10 13:50:51 |
| pixelyai-serve |
0.0.8 |
serve utilises of pixelyai in jax and torch |
2023-12-02 11:46:30 |
| mctx |
0.0.5 |
Monte Carlo tree search in JAX. |
2023-11-24 11:52:32 |
| distrax |
0.1.5 |
Distrax: Probability distributions in JAX. |
2023-11-22 12:53:44 |
| nldesa |
0.0.3 |
A package with tools to solve and analyse nonlinear differential equations Stability using DMD. |
2023-11-15 22:45:12 |
| torchopt |
0.7.3 |
An efficient library for differentiable optimization for PyTorch. |
2023-11-10 06:32:39 |
| jaxopt |
0.8.2 |
Hardware accelerated, batchable and differentiable optimizers in JAX. |
2023-11-06 11:01:16 |
| pyhf |
0.7.5 |
pure-Python HistFactory implementation with tensors and autodiff |
2023-10-26 17:27:44 |
| hyper-jax |
0.0.1 |
Hyperdimensional computing with Jax |
2023-10-23 17:15:02 |
| deepsig |
1.2.8 |
Easy Significance Testing for Deep Neural Networks. |
2023-10-15 17:09:00 |
| veros |
1.5.1 |
The versatile ocean simulator, in pure Python, powered by JAX. |
2023-10-11 08:44:24 |
| sigkerax |
0.2.1 |
Signature kernel computations via PDE solvers in JAX |
2023-10-06 08:00:41 |
| dLux |
0.14.0 |
Differentiable Optical Models as Parameterised Neural Networks in Jax using Zodiax. |
2023-10-04 04:01:31 |
| juxai-s2 |
3.0.0 |
JUX is a jax-accelerated engine for Lux-2022. |
2023-09-27 03:35:26 |
| jax_chmc |
0.0.5 |
An implementation of a family of MCMC methods on implicitly defined manifolds |
2023-09-20 16:26:59 |
| jimGW |
0.1.1 |
Gravitatioanl wave data analysis tool in Jax |
2023-09-18 20:10:19 |
| lovely-jax |
0.1.3 |
💘 Lovely JAX |
2023-09-18 06:59:11 |
| hf-image-uploader |
0.0.2 |
State-of-the-art diffusion in PyTorch and JAX. |
2023-09-05 13:19:41 |
| holab |
0.0.3 |
Acoustic lens design on GPUs with Automatic Differentiation. |
2023-09-04 16:17:10 |
| nm-transformers |
1.5.1.42301 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-08-23 01:27:39 |