Popular GitHub Repositories for Sampler

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

Visualization of Gibbs sampling for 2D Gaussian distribution

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.

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"

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

Libary for SGPD (Sigmoidal Gaussian Process Density) inference

Official implementation of "Diffusion-Inspired Truncated Sampler for Text-Video Retrieval (NeurIPS 2024)"

Hidden Markov Hawkes Process - Model for Analyzing Topical Transitions in text based cascades in Social Networks.

Parameterizable Auto-differentiable Simulators of ocean Trajectories in jAX.

Bayesian analysis and forecasting of Bitcoin volatility. Definition of GARCH and ARCH models through MCMC sampling.

A Model Context Protocol server for generating DecentSampler drum kit configurations.

Missing data imputation using the exact conditional likelihood of Deep Latent Variable Models

Implementation of active learning sampler