Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)

Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

An implementation of SVGD in PyTorch

Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.

A library for the Stein Variational Gradient Descent algorithm in C++.