This library implements a flow-based generative model and bijectors which are implemented as FLAX modules. Conditional flows are supported.
The source code is released under the MIT license.
pip install zenflowThere is currently no online documentation, but the library has useful docstrings. Please use the docstrings and look into the usage examples in the examples folder.
This project was originally forked from PZFlow by John Franklin Crenshaw, but largely rewritten. PZFlow itself draws from other repositories, which are listed in the PZFlow documentation. I needed a code base which is simple to understand and stripped down to the essentials for my use case. Differences between PZFlow and zenflow:
- zenflow uses generic JAX arrays for data input and output, while PZFlow enforces the use of Pandas.
- zenflow implements all trainable objects as FLAX modules, while PZFlow uses JAX primitives. Like FLAX, zenflow follows a clean functional design.
- PZflow supports training on data points with uncertainties, zenflow has no support for that.
- PZflow supports computing marginalized posterior densities, zenflow has no support for that.
- PZflow supports periodic data, which is currently not supported by zenflow (I plan to reintroduce this later).
- PZflow supports more bijectors than zenflow.