- Add a readthedocs.yml to generate the documentation.
0.1
- Add classes to perform Neural Posterior and Likelihood Inference. - Create posterior classes to compute the log-probability and sample from a learned distribution. - Add README and API Documentation.
0.0.1
A package to perform Neural Density Estimation in Jax. It allows to: -Create a Normalizing Flow (MAF or RealNVP) or a Mixture Density Network -Train it using a specific class and losses allowing to perform Neural Density Estimation