Popular GitHub Repositories for Decent Sampler

an edge-real-time anchor-free object detector with decent performance

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

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

Visualization of Gibbs sampling for 2D Gaussian distribution

Python and MATLAB code for Stein Variational sampling methods

A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN

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

Implementation of Stein Variational Gradient Descent with TensorFlow 2.0

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

Decent and capable Music AI implementation based on the SOTA Google Reformer transformer and code/colab.

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.