Popular GitHub Repositories for Gibbs Sampler

Boltzmann Machines in TensorFlow with examples

Collection of probabilistic models and inference algorithms

2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Blazing fast topic modelling for short texts.

Latent Dirichlet Allocation

Visualization of Gibbs sampling for 2D Gaussian distribution

A toolbox for inference of mixture models

The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).

Sequential Monte Carlo sampler for PyMC2 models.

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

Implementation of VQ-VAE with a GPT-style sampler in the JAX and Haiku ecosystem.

[ECCV2020] Motion-excited Sampler: Video Adversarial Attack with Sparked Prior

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

Bayesian Non-Parametric Image Segmentation using HDP-MRF

Gibbs Sampling Dirichlet Multinomial Model (GSDMM) for Short-Text Clustering

extension for Forge webui for Stable Diffusion; override the scheduler used by samplers, also switch sampler mid run; Align Your Steps scheduler included

code for the paper "Impact of Channel Variation on One-Class Learning for Spoof Detection"

This directory contains a sample from the code which I wrote during my master thesis on Active Learning with Bayesian Neural Networks with Gaussian Processes. Two example scripts are provided which show: 1. the superiority of the GPA Sampler over random point selection, 2. the runtime improvement of the Fast GPA Sampler over the GPA Sampler