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 23:21:57 2025 |
| md5 checksum | dc573edd4f6351de6f9e3f069c0cc747 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| constrains | protobuf >=3.13,<4 |
| depends | jaxlib >=0.4.19, ml_dtypes >=0.2.0, numpy >=1.22,<2.0a0, opt_einsum, python >=3.10,<3.11.0a0, scipy >=1.9 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | dc573edd4f6351de6f9e3f069c0cc747 |
| name | jax |
| platform | linux |
| sha1 | 71e1e542b3a941b963aa1b044844729a18e793a6 |
| sha256 | 6e2e548572e7d36ce0720b4dd136eeb79f04bac606b7d2640a869acfbd03ef04 |
| size | 2887019 |
| subdir | linux-64 |
| timestamp | 1706213429456 |
| version | 0.4.23 |