Name | Version | Summary | date |
nm-transformers-nightly |
1.7.0.20240304 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-03-05 13:39:02 |
totypes |
0.6.4 |
Custom datatypes useful in a topology optimization context |
2024-03-05 03:45:08 |
bosonic-jax |
0.1.0.1 |
Bosonic JAX |
2024-03-04 10:57:02 |
chromax |
0.0.4a0 |
Breeding simulator based on JAX |
2024-03-03 19:58:23 |
harmonix |
0.0.1 |
Analytic interferometry of stellar surfaces using spherical harmonics in Jax |
2024-03-02 14:25:34 |
google-fax |
0.0.2 |
FAX is an implementation of federated operations using Jax primitives. |
2024-02-29 21:44:46 |
ref-gsd |
0.2.3 |
Reference implementation of generalised score distribution in python |
2024-02-26 07:22:58 |
bayex |
0.2.0 |
Minimal Bayesian Optimization Implementation with Gaussian Processes written in JAX. |
2024-02-25 12:48:46 |
drpangloss |
0.0.1 |
Python package to fit interferometric data, accelerated using Jax. |
2024-02-23 05:43:15 |
agjax |
0.3.0 |
A jax wrapper for autograd-differentiable functions. |
2024-02-21 04:04:19 |
arraylias |
0.1.1 |
A Python package for aliased function dispatching to multiple array libraries |
2024-02-20 19:00:09 |
jaxbook |
0.0.1 |
Iterative algorithms for numerical linear algebra with JAX |
2024-02-19 06:39:00 |
mewtax |
0.0.0 |
Differentiable minimization in jax using Newton's method. |
2024-02-18 17:19:28 |
sparsejac |
0.1.3 |
Efficient forward- and reverse-mode sparse Jacobians using Jax. |
2024-02-18 17:07:45 |
ripplegw |
0.0.5 |
A small jax package for differentiable and fast gravitational wave data analysis. |
2024-02-16 13:47:02 |
jax-dataloader |
0.1.0 |
Dataloader for jax |
2024-02-15 18:35:12 |
dm-reverb-nightly |
0.15.0.dev20240213 |
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research. |
2024-02-13 11:07:47 |
jaxwt |
0.1.1 |
Differentiable and gpu enabled fast wavelet transforms in JAX |
2024-02-13 10:41:18 |
ghq |
0.0.3 |
Gauss-Hermite quadrature in JAX |
2024-02-10 16:17:43 |
numba4jax |
0.0.12 |
Usa numba in jax-compiled kernels. |
2024-02-07 23:23:43 |