10 results found Sort:

TuringLang
Turing.jl TuringLang
215
2.0k
mit
49
Bayesian inference with probabilistic programming.
hmc mcmc turing julia-language machine-learning bayesian-inference bayesian-statistics probabilistic-models artificial-intelligence hamiltonian-monte-carlo probabilistic-inference bayesian-neural-networks probabilistic-programming probabilistic-graphical-models
Created 2016-04-29
3,363 commits to master branch, last one 14 hours ago
blackjax-devs
blackjax blackjax-devs
96
752
apache-2.0
14
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
sampling-methods bayesian-inference hamiltonian-monte-carlo probabilistic-programming
Created 2020-12-09
509 commits to main branch, last one 5 days ago
tpapp
DynamicHMC.jl tpapp
21
242
other
18
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
julia bayesian julia-language bayesian-methods bayesian-inference hybrid-monte-carlo bayesian-statistics hamiltonian-monte-carlo
Created 2017-06-08
374 commits to master branch, last one 7 months ago
TuringLang
AdvancedHMC.jl TuringLang
39
222
mit
15
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
hmc mcmc nuts hamiltonian-monte-carlo
Created 2016-11-02
402 commits to master branch, last one 3 days ago
matt-graham
mici matt-graham
27
211
mit
17
Manifold Markov chain Monte Carlo methods in Python
hmc mcmc python hybrid-monte-carlo inference-algorithms hamiltonian-monte-carlo markov-chain-monte-carlo
Created 2016-02-25
443 commits to main branch, last one 10 months ago
kthohr
mcmc kthohr
45
160
apache-2.0
16
A C++ library of Markov Chain Monte Carlo (MCMC) methods
de cpp hmc mala mcmc cpp11 eigen eigen3 armadillo langevin-diffusion metropolis-hastings riemannian-manifold differential-evolution hamiltonian-monte-carlo markov-chain-monte-carlo automatic-differentiation
Created 2017-08-12
85 commits to master branch, last one 4 months ago
m-clark
bayesian-basics m-clark
26
83
cc0-1.0
6
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
r brms mcmc stan gibbs prior rstan bayesian rstanarm likelihood bayesian-methods bayesian-analysis regression-models bayesian-inference bayesian-statistics metropolis-hastings posterior-predictive posterior-probability bayesian-data-analysis hamiltonian-monte-carlo
Created 2016-12-10
69 commits to master branch, last one 2 years ago
m-clark
models-by-example m-clark
16
67
unknown
3
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca rkhs lasso splines bayesian cox-model algorithms mixed-models zero-inflated neural-network gradient-descent machine-learning ridge-regression linear-regression gaussian-processes logistic-regression penalized-regression hamiltonian-monte-carlo expectation-maximization maximum-likelihood-estimation
Created 2020-11-01
95 commits to main branch, last one 3 years ago
saforem2
l2hmc-qcd saforem2
7
64
apache-2.0
5
Application of the L2HMC algorithm to simulations in lattice QCD.
hmc mcmc hydra horovod lattice pytorch deepspeed tensorflow lattice-qcd monte-carlo gauge-theory deep-learning machine-learning hamiltonian-monte-carlo
Created 2019-03-21
6,366 commits to main branch, last one 6 months ago
lxuechen
BDMC lxuechen
14
52
mit
3
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
mcmc pytorch bayesian-inference hamiltonian-monte-carlo bidirectional-monte-carlo annealed-importance-sampling
Created 2018-01-06
43 commits to master branch, last one 3 years ago