JAX is Autograd and XLA, brought together for high-performance numerical computing and machine learning research. It provides composable transformations of Python+NumPy programs: differentiate, vectorize, parallelize, Just-In-Time compile to GPU/TPU, and more.
| Uploaded | Sun Mar 30 23:22:00 2025 |
| md5 checksum | 6f43660bac9a59d56b2914910c7da241 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | jaxlib >=0.4.14, ml_dtypes >=0.2.0, numpy >=1.22,<2.0a0, opt_einsum, python >=3.10,<3.11.0a0, scipy >=1.7 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | 6f43660bac9a59d56b2914910c7da241 |
| name | jax |
| platform | linux |
| sha1 | d9ff76ee8b5de21bc926422ebaada693bc6af46e |
| sha256 | 9855105e3abf27a75e07b817656f86be3cc51bfcfa0d71607ccaf77af677ce8e |
| size | 2763742 |
| subdir | linux-64 |
| timestamp | 1698071603868 |
| version | 0.4.16 |