Metadata-Version: 2.1
Name: physDBD
Version: 0.1.1
Summary: Physics-based modeling of reaction networks with TensorFlow
Home-page: https://github.com/smrfeld/phys_dbd
Author: Oliver K. Ernst
Author-email: oernst@ucsd.edu
License: UNKNOWN
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Physics-based dynamic PCA for modeling stochastic reaction networks with TensorFlow

This is the source repo. for the `physDBD` Python package. It allows the creation of physics-based machine learning models in `TensorFlow` for modeling stochastic reaction networks.

## Quickstart

1. Install:
    ```
    pip install physDBD
    ```

2. See the [example notebook in the GitHub repo.](https://github.com/smrfeld/phys_dbd).

3. Read the [documentation](https://smrfeld.github.io/phys_dbd).

## Further information

See the project's [GitHub page](https://github.com/smrfeld/phys_dbd).

