Code for "Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates" (ICML 2023)

Interactive Markov-chain Monte Carlo Javascript demos

A collection of resources and papers on Diffusion Models

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

Julia package for Gaussian quadrature

Uniform Manifold Approximation and Projection

Sequential Monte Carlo in python

Bayesian optimization for Julia

Basic statistics for Julia

TensorFlow for R

The Julia Programming Language

sgmcmc: a stochastic gradient MCMC package for R

A Julia package for Gaussian Processes