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 | 38e3276ca6b9e613e7aa3573b7379999 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| constrains | protobuf >=3.13,<4 |
| depends | importlib_metadata >=4.6, jaxlib >=0.4.19, ml_dtypes >=0.2.0, numpy >=1.22,<2.0a0, opt_einsum, python >=3.9,<3.10.0a0, scipy >=1.9 |
| license | Apache-2.0 |
| license_family | APACHE |
| md5 | 38e3276ca6b9e613e7aa3573b7379999 |
| name | jax |
| platform | linux |
| sha1 | 7e6fb580f5427eee52ba84597b64898daea7d6a5 |
| sha256 | 474197c2086bfb768bfe82fd1edfffdd856640acddf2e088c756a8060f36af7c |
| size | 2856073 |
| subdir | linux-64 |
| timestamp | 1706213330396 |
| version | 0.4.23 |