| Name | Version | Summary | date |
| dm-reverb-nightly |
0.11.0.dev20230528 |
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research. |
2023-05-28 10:10:45 |
| jaxutils-nightly |
0.0.8.dev20230528 |
Utility functions for JaxGaussianProcesses |
2023-05-28 00:06:49 |
| jaxkern-nightly |
0.0.5.dev20230528 |
Kernels in Jax. |
2023-05-28 00:04:58 |
| connex |
0.2.1 |
Making neural networks more neural. |
2023-05-27 20:10:36 |
| nebula-loss |
0.3.3 |
1 Loss Function to rule them all! |
2023-05-27 06:49:48 |
| jaxopt |
0.7 |
Hardware accelerated, batchable and differentiable optimizers in JAX. |
2023-05-26 21:59:14 |
| inox |
0.0.0 |
Stainless neural networks in JAX |
2023-05-26 15:40:49 |
| equinox |
0.10.4 |
Elegant easy-to-use neural networks in JAX. |
2023-05-22 05:31:54 |
| jax-relax |
0.1.5 |
Jax-based Recourse Explanation Library |
2023-05-20 00:54:45 |
| pytreeclass |
0.3.6 |
JAX compatible dataclass. |
2023-05-18 18:30:44 |
| triton-model-navigator |
0.5.4 |
Triton Model Navigator provides tools supporting to create Deep Learning production ready inference models |
2023-05-18 12:24:44 |
| pyhf |
0.7.2 |
pure-Python HistFactory implementation with tensors and autodiff |
2023-05-18 07:51:14 |
| rax |
0.3.0 |
Learning-to-Rank using JAX. |
2023-05-17 19:24:49 |
| qdax |
0.2.3 |
A Python Library for Quality-Diversity and NeuroEvolution |
2023-05-17 13:32:29 |
| transformers |
4.29.2 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2023-05-16 19:17:25 |
| jax-dataloader |
0.0.4 |
Dataloader for jax |
2023-05-14 02:06:38 |
| jit-env |
0.1.4 |
A Jax interface for Reinforcement Learning environments. |
2023-05-12 13:32:07 |
| etils |
1.3.0 |
Collection of common python utils |
2023-05-12 12:50:04 |
| torchopt |
0.7.1 |
An efficient library for differentiable optimization for PyTorch. |
2023-05-12 11:18:40 |
| gpjax |
0.6.1 |
Gaussian processes in JAX. |
2023-05-11 22:04:56 |