Theano-PyMC is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It can use GPUs and perform efficient symbolic differentiation.
This is a fork of the original Theano library that is being maintained by the PyMC team.
Warning
The name of this repository/project may change in the near future.
- A hackable, pure-Python codebase
- Extensible graph framework suitable for rapid development of custom symbolic optimizations
- Implements an extensible graph transpilation framework that currently provides compilation to C and JAX JITed Python functions
- Built on top of one of the most widely-used Python tensor libraries: Theano
The documentation is located here.
Warning
As development progresses, the legacy documentation may become less applicable.
The latest release of Theano-PyMC can be installed from PyPI using pip:
pip install Theano-PyMC
Or via conda-forge:
conda install -c conda-forge theano-pymc
The current development branch of Theano-PyMC can be installed from GitHub, also using pip:
pip install git+https://github.com/pymc-devs/Theano-PyMC
For platform-specific installation information see the legacy documentation here.
The PyMC group operates under the NumFOCUS umbrella. If you want to support us financially, you can donate here.