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 23:22:01 2025 |
| md5 checksum | d44524b6fe193105ac4f98798f002dc2 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | jaxlib >=0.4.14, ml_dtypes >=0.2.0, numpy >=1.22,<2.0a0, opt_einsum, python >=3.11,<3.12.0a0, scipy >=1.7 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | d44524b6fe193105ac4f98798f002dc2 |
| name | jax |
| platform | linux |
| sha1 | cc6868dbe5ef3012c7b5f1e3c43528eab6c9c085 |
| sha256 | cdc7505059342b6f3ae7e3c342077bce0136a9577a45d0740b410a3c9290e56a |
| size | 3742322 |
| subdir | linux-64 |
| timestamp | 1698071651240 |
| version | 0.4.16 |