Skip to main content

This package provides tools to execute and implement Implicit Likelihood Inference tools in JAX.

Project description

JaxILI

This is a package to run Neural Density Estimation using Jax.

Work is still in progress

Installation

To install the package, clone the repository and create a conda environment using conda_env.yml.

git clone https://github.com/sachaguer/jaxili.git
cd jaxili
conda env create -f conda_env.yml

You can then use pip to install the library in your conda environment.

conda activate jaxili
pip install .

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jaxili-0.0.1.tar.gz (16.0 kB view hashes)

Uploaded Source

Built Distribution

jaxili-0.0.1-py3-none-any.whl (17.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page