hmc
There are 64 repositories under hmc topic.
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
AdamCobb/hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
TuringLang/AdvancedHMC.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
matt-graham/mici
Manifold Markov chain Monte Carlo methods in Python
kthohr/mcmc
A C++ library of Markov Chain Monte Carlo (MCMC) methods
akio-tomiya/LatticeQCD.jl
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
TuringLang/TuringGLM.jl
Bayesian Generalized Linear models using `@formula` syntax.
saforem2/l2hmc-qcd
Application of the L2HMC algorithm to simulations in lattice QCD.
eigenfoo/littlemcmc
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
konstantinos-p/Bayesian-Neural-Networks-Reading-List
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"
ludwigwinkler/pytorch_MCMC
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
zhmcclient/python-zhmcclient
A pure Python client library for the IBM Z HMC Web Services API
aesara-devs/aemcmc
AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
etmc/tmLQCD
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 for various modern architectures, such as commodity PC clusters and the Blue Gene family.
aesara-devs/aehmc
An HMC/NUTS implementation in Aesara
4ment/phylostan
Phylogenetic inference using Stan
IBM/zOS-BCPii
zOS Base Control Program internal interface
tactcomplabs/gc64-hmcsim
Hybrid Memory Cube Simulation & Research Infrastructure
zhmcclient/zhmc-prometheus-exporter
A Prometheus exporter for the IBM Z HMC
akio-tomiya/Gaugefields.jl
Utilities of gauge fields
zhmcclient/zhmc-ansible-modules
An Ansible collection for the IBM Z HMC
flatironinstitute/walnuts
Within-orbit Adaptive Leapfrog No-U-Turn Sampler
tomicapretto/shiny-hmc
A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo
zhmcclient/zhmccli
A CLI for the IBM Z HMC
thiery-lab/manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
ronaldseoh/bayesian-dl-experiments
Bayesian deep learning experiments
matt-graham/differentiable-generative-models
Inference in differentiable generative models
mnellemann/hmci
HMCi is a utility that collects metrics from one or more IBM Power Hardware Management Consoles (HMC), without the need to install agents on logical partitions / virtual machines running on the IBM Power systems.
mrlhansen/YaHMC
Numerical simulation code for non-abelian gauge theories
thiery-lab/manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
akio-tomiya/LatticeDiracOperators.jl
Dirac operators for lattice QCD with Julia
flipdazed/Hybrid-Monte-Carlo
Used in Deep Machine Learning and Lattice Quantum Chromodynamics
ocp-power-automation/ocp4-upi-powervm-hmc
OpenShift on IBM PowerVM servers managed using HMC
ronaldseoh/ronald_bdl
An experimental Python package for learning Bayesian Neural Network.