Welcome to JaxILI’s documentation

JaxILI is a library in JAX to perform Implicit Likelihood Inference. The Neural Density Estimators are implemented using Flax and the inference is performed using Numpyro.

The documentation is still under construction. Please refer to the API for more information or contact the author.

Table of Contents

Contents:

• Software manual
  • Installation
  • First steps
  • Release notes
  • Get in touch
• Examples
  • Getting started with JaxILI
  • Neural Likelihood Estimation Quickstart
  • Training a Conditional MAF
• User guide
  • How JaxILI works
• Reference
  • jaxili.inference package
  • jaxili.loss module
  • jaxili.model module
  • jaxili.posterior package
  • jaxili.train module
  • jaxili.utils module
  • jaxili.validation module

Indices and tables

• Index

• Module Index

• Search Page