Projects in Awesome Lists tagged with mcmc-sampling

A curated list of projects in awesome lists tagged with mcmc-sampling .

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https://github.com/SHI-Yu-Zhe/generative-modeling-explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

adversarial-learning bayesian-inference diffusion-model energy-based-model equilibrium-sampling generative-modeling langevin-dynamics mcmc-sampling non-equilibrium-sampling score-based-generative-modeling variational-inference

Last synced: 14 May 2025

https://github.com/turinglang/mcmctempering.jl

Implementations of parallel tempering algorithms to augment samplers with tempering capabilities

julia-language mcmc mcmc-sampling multimodality probabilistic-programming turing-language

Last synced: 13 Apr 2025

https://github.com/usace-rmc/numerics

Numerics is a free and open-source library for .NET developed by USACE-RMC, providing a comprehensive set of methods and algorithms for numerical computations and statistical analysis.

machine-learning mcmc-sampling optimization probability-distribution statistics

Last synced: 06 Apr 2026

https://github.com/nerler/jointai

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

bayesian generalized-linear-models glm glmm imputation imputations jags joint-analysis linear-mixed-models linear-regression-models mcmc-sample mcmc-sampling missing-data missing-values rstats survival

Last synced: 22 Oct 2025

https://github.com/chto/linna

Likelihood Inference Neural Network Accelerator

bayesian-inference cosmology galaxy-clusters mcmc-sampling neural-networks

Last synced: 14 Dec 2025

https://github.com/amazon-science/contrastive_emc2

Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"

contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning

Last synced: 04 Oct 2025

https://github.com/raheesahmed/nqs-quantum-simulator

A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.

deep-learning high-performance-computing machine-learning mcmc-sampling monte-carlo neural-quantum-states neural-simulations neuralnetworks nqs physics-simulation pytorch quantum-computing quantum-many-body quantum-mechanics quantum-simulation scientific-computing scientific-computing-with-python stochastic-optimization symmetry-preserving-networks variational-monte-carlo