Probabilistic programming and deep learning in JAX
Project description
Oryx
Oryx is a library for probabilistic programming and deep learning built on top
of Jax. The approach is to expose a set of function transformations that
compose and integrate with JAX's existing transformations (e.g. jit, grad,
and vmap).
Documentation and Examples
Coming soon!
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
oryx-0.0.1.post2.tar.gz
(76.8 kB
view details)
File details
Details for the file oryx-0.0.1.post2.tar.gz.
File metadata
- Download URL: oryx-0.0.1.post2.tar.gz
- Upload date:
- Size: 76.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
466e7e2108fd2340b016c2e6840655bb9668bcae6ec5876a9a96ee8cb8e24bf9
|
|
| MD5 |
72a89aef76c13243d0587565ffde29a7
|
|
| BLAKE2b-256 |
c3d0b0c9d26b5fe7cdede418884621770a617c99436c404e48625728b18024af
|
