Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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Oct 21, 2025 - Python
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hmc
Here are 64 public repositories matching this topic...
Bayesian inference with probabilistic programming.
machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing hacktoberfest probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference
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Oct 22, 2025 - Julia
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
deep-learning reproducible-research regression pytorch uncertainty classification uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation mc-dropout bayes-by-backprop out-of-distribution-detection sgld
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Oct 20, 2023 - Jupyter Notebook
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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Oct 16, 2025 - Jupyter Notebook
Manifold Markov chain Monte Carlo methods in Python
python mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo hybrid-monte-carlo inference-algorithms
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Sep 8, 2025 - Python
A C++ library of Markov Chain Monte Carlo (MCMC) methods
cpp automatic-differentiation eigen cpp11 armadillo differential-evolution mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo de metropolis-hastings eigen3 mala langevin-diffusion riemannian-manifold
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Feb 8, 2024 - C++
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
hpc julia physics monte-carlo julia-language qcd hep particle-physics hmc julialang lattice-gauge-theory lattice-field-theory lattice-qcd sciml hep-lat
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Sep 10, 2025 - Julia
Bayesian Generalized Linear models using `@formula` syntax.
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Aug 31, 2025 - Julia
Application of the L2HMC algorithm to simulations in lattice QCD.
machine-learning deep-learning tensorflow monte-carlo pytorch hydra lattice mcmc hmc hamiltonian-monte-carlo lattice-qcd horovod gauge-theory deepspeed
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Feb 2, 2024 - Jupyter Notebook
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
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Jul 25, 2024 - Python
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
deep-learning uncertainty uncertainty-neural-networks bayesian-inference mcmc variational-inference hmc bayesian-neural-networks langevin-dynamics approximate-inference local-reparametrization-trick kronecker-factored-approximation bayes-by-backprop sgld
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Nov 1, 2023
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
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Oct 23, 2023 - Python
tmLQCD is a freely available software suite providing a set of tools to be used in lattice QCD simulations. This is mainly a HMC implementation (including PHMC and RHMC) for Wilson, Wilson Clover and Wilson twisted mass fermions and inverter for different versions of the Dirac operator. The code is fully parallelised and ships with optimisations…
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Oct 20, 2025 - C
Phylogenetic inference using Stan
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Mar 6, 2025 - Python
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