Metadata-Version: 2.1
Name: oryx
Version: 0.0.1.post3
Summary: Probabilistic programming and deep learning in JAX
Home-page: http://github.com/tensorflow/probability/spinoffs/oryx
Author: Google LLC
Author-email: no-reply@google.com
License: Apache 2.0
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!
        
Keywords: jax probability statistics bayesian machine learning
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >3.6
Description-Content-Type: text/markdown
