An open API service providing repository metadata for many open source software ecosystems.

Topic: "bayesian-inference"

ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: about 15 hours ago - Pushed at: over 1 year ago - Stars: 16,106 - Forks: 3,805

pymc-devs/pymc

Bayesian Modeling and Probabilistic Programming in Python

Language: Python - Size: 516 MB - Last synced at: about 21 hours ago - Pushed at: 4 days ago - Stars: 9,077 - Forks: 2,104

pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

Language: Python - Size: 93.5 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 8,794 - Forks: 988

stan-dev/stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Language: C++ - Size: 277 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2,666 - Forks: 377

pyro-ppl/numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Language: Python - Size: 95.3 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 2,456 - Forks: 259

google/neural-tangents 📦

Fast and Easy Infinite Neural Networks in Python

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 2,339 - Forks: 231

mckinsey/causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

Language: Python - Size: 22.8 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 2,326 - Forks: 266

thu-ml/zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Language: Python - Size: 1.75 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 2,222 - Forks: 419

avehtari/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

Language: TeX - Size: 440 MB - Last synced at: about 21 hours ago - Pushed at: 5 months ago - Stars: 2,205 - Forks: 562

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 37.2 MB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 2,134 - Forks: 226

pymc-devs/pymc-resources

PyMC educational resources

Language: Jupyter Notebook - Size: 432 MB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 2,016 - Forks: 750

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308

dotnet/infer

Infer.NET is a framework for running Bayesian inference in graphical models

Language: C# - Size: 34.9 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1,588 - Forks: 232

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 158 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 1,534 - Forks: 128

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 1,498 - Forks: 329

paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Language: R - Size: 261 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 1,324 - Forks: 196

pptacher/probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

Language: C++ - Size: 35.5 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 1,271 - Forks: 378

bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

Language: Python - Size: 614 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1,165 - Forks: 133

tum-pbs/pbdl-book

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Language: Jupyter Notebook - Size: 51 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 1,100 - Forks: 174

stan-dev/rstan

RStan, the R interface to Stan

Language: R - Size: 197 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,063 - Forks: 270

avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 1,015 - Forks: 302

blackjax-devs/blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Language: Python - Size: 418 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 918 - Forks: 118

brylevkirill/notes

Learn about Machine Learning and Artificial Intelligence

Size: 9.48 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 916 - Forks: 237

awslabs/fortuna 📦

A Library for Uncertainty Quantification.

Language: Python - Size: 4.56 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 913 - Forks: 48

FRBNY-DSGE/DSGE.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Language: Julia - Size: 2.46 GB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 877 - Forks: 226

sbi-dev/sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

Language: Python - Size: 111 MB - Last synced at: 4 days ago - Pushed at: 18 days ago - Stars: 703 - Forks: 192

JWarmenhoven/DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Language: Jupyter Notebook - Size: 73.9 MB - Last synced at: 27 days ago - Pushed at: almost 4 years ago - Stars: 682 - Forks: 262

ericmjl/bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

Language: Jupyter Notebook - Size: 96.6 MB - Last synced at: 27 days ago - Pushed at: almost 3 years ago - Stars: 665 - Forks: 278

IntelLabs/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Language: Python - Size: 255 KB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 590 - Forks: 80

avehtari/BDA_R_demos

Bayesian Data Analysis demos for R

Language: HTML - Size: 190 MB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 573 - Forks: 206

ericmjl/bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language: Jupyter Notebook - Size: 126 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 557 - Forks: 111

dawenl/vae_cf

Variational autoencoders for collaborative filtering

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 530 - Forks: 157

JaxGaussianProcesses/GPJax

Gaussian processes in JAX and Flax.

Language: Python - Size: 280 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 516 - Forks: 63

erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 514 - Forks: 50

pymc-devs/pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Language: Python - Size: 83.6 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 470 - Forks: 134

nchopin/particles

Sequential Monte Carlo in python

Language: Python - Size: 5.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 453 - Forks: 77

cscherrer/Soss.jl

Probabilistic programming via source rewriting

Language: Julia - Size: 5.81 MB - Last synced at: 27 days ago - Pushed at: 11 months ago - Stars: 415 - Forks: 30

ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

The bookdown version lives here: https://bookdown.org/content/3890

Language: HTML - Size: 5.33 GB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 402 - Forks: 95

stan-dev/rstanarm

rstanarm R package for Bayesian applied regression modeling

Language: R - Size: 117 MB - Last synced at: 3 days ago - Pushed at: 24 days ago - Stars: 396 - Forks: 137

JuliaMath/MeasureTheory.jl

"Distributions" that might not add to one.

Language: Julia - Size: 4.62 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 396 - Forks: 32

wiseodd/MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Language: Python - Size: 7.81 KB - Last synced at: 10 days ago - Pushed at: over 7 years ago - Stars: 380 - Forks: 127

joshspeagle/dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Language: Python - Size: 143 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 379 - Forks: 85

uncomplicate/bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

Language: Clojure - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 365 - Forks: 23

ctallec/pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Language: Python - Size: 47.9 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 359 - Forks: 50

JuliaGaussianProcesses/Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

Language: Julia - Size: 294 MB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 345 - Forks: 26

ReactiveBayes/RxInfer.jl

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Language: Jupyter Notebook - Size: 438 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 338 - Forks: 29

ohirose/bcpd

Bayesian Coherent Point Drift / Domain Elastic Transform

Language: C - Size: 24.8 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 314 - Forks: 41

IndrajeetPatil/statsExpressions

Tidy data frames and expressions with statistical summaries 📜

Language: R - Size: 38.9 MB - Last synced at: 4 days ago - Pushed at: 26 days ago - Stars: 313 - Forks: 20

cdslaborg/paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Language: Fortran - Size: 56.5 MB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 289 - Forks: 35

elfi-dev/elfi

ELFI - Engine for Likelihood-Free Inference

Language: Python - Size: 2.15 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 274 - Forks: 62

ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Language: Jupyter Notebook - Size: 321 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 270 - Forks: 50

kumar-shridhar/Master-Thesis-BayesianCNN

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Language: TeX - Size: 18.6 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 265 - Forks: 83

msuzen/looper

A resource list for causality in statistics, data science and physics

Size: 831 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 264 - Forks: 33

CompEvol/beast2

Bayesian Evolutionary Analysis by Sampling Trees

Language: Java - Size: 93.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 252 - Forks: 85

tpapp/DynamicHMC.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Language: Julia - Size: 1.14 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 251 - Forks: 21

TuringLang/Bijectors.jl

Implementation of normalising flows and constrained random variable transformations

Language: Julia - Size: 1.03 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 245 - Forks: 38

NBISweden/MrBayes

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Language: C - Size: 43.5 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 243 - Forks: 84

wiseodd/probabilistic-models

Collection of probabilistic models and inference algorithms

Language: Python - Size: 26.4 KB - Last synced at: 4 days ago - Pushed at: about 5 years ago - Stars: 241 - Forks: 76

translationalneuromodeling/tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Language: MATLAB - Size: 164 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 235 - Forks: 94

minaskar/zeus

⚡️ zeus: Lightning Fast MCMC ⚡️

Language: Python - Size: 197 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 235 - Forks: 33

acerbilab/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Language: MATLAB - Size: 24.6 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 224 - Forks: 42

probcomp/PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Language: Julia - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 223 - Forks: 33

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 20 days ago - Pushed at: 8 months ago - Stars: 222 - Forks: 29

exoplanet-dev/exoplanet

Fast & scalable MCMC for all your exoplanet needs!

Language: Python - Size: 14.8 MB - Last synced at: 4 days ago - Pushed at: 18 days ago - Stars: 220 - Forks: 54

mirceamironenco/BayesianRecurrentNN

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

Language: Python - Size: 11.7 KB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 217 - Forks: 40

bat/BAT.jl

A Bayesian Analysis Toolkit in Julia

Language: Julia - Size: 19.8 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 216 - Forks: 32

robi56/Survival-Analysis-using-Deep-Learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Size: 13.7 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 214 - Forks: 67

Joseph94m/MCMC

Implementation of Markov Chain Monte Carlo in Python from scratch

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 201 - Forks: 83

stan-dev/shinystan

shinystan R package and ShinyStan GUI

Language: R - Size: 32.9 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 199 - Forks: 47

jeff-regier/Celeste.jl

Scalable inference for a generative model of astronomical images

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 185 - Forks: 28

hao-lh/the-books-making-you-better

This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your expertise, and fuel you drive better, whether you’re exploring new fields, honing in-demand skills, or simply looking for fresh perspectives.

Size: 254 KB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 181 - Forks: 22

junpenglao/GLMM-in-Python

Generalized linear mixed-effect model in Python

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 178 - Forks: 47

nimble-dev/nimble

The base NIMBLE package for R

Language: C++ - Size: 70.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 177 - Forks: 22

deep-learning-indaba/indaba-pracs-2022

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Language: Jupyter Notebook - Size: 38.7 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 175 - Forks: 42

gpstuff-dev/gpstuff

GPstuff - Gaussian process models for Bayesian analysis

Language: MATLAB - Size: 67.2 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61

brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

Language: Python - Size: 3.23 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 174 - Forks: 16

vsmolyakov/ml_algo_in_depth

ML algorithms in depth

Language: Python - Size: 643 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 171 - Forks: 26

slimgroup/InvertibleNetworks.jl

A Julia framework for invertible neural networks

Language: Julia - Size: 2.11 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 165 - Forks: 24

fehiepsi/rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 163 - Forks: 36

christophmark/bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Language: Python - Size: 11.1 MB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 163 - Forks: 28

stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Language: R - Size: 111 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 154 - Forks: 35

google-deepmind/PGMax

Loopy belief propagation for factor graphs on discrete variables in JAX

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 152 - Forks: 12

MarineRoboticsGroup/dcsam

Factored inference for discrete-continuous smoothing and mapping.

Language: C++ - Size: 4.34 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 146 - Forks: 18

CobayaSampler/cobaya

Code for Bayesian Analysis

Language: Python - Size: 7.94 MB - Last synced at: 9 days ago - Pushed at: 16 days ago - Stars: 144 - Forks: 139

hvasbath/beat

Bayesian Earthquake Analysis Tool

Language: Python - Size: 47.4 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 142 - Forks: 43

dsteinberg/libcluster

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Language: C++ - Size: 1.1 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 138 - Forks: 21

baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Language: Julia - Size: 355 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 130 - Forks: 17

google/bayesnf

Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets

Language: Python - Size: 14.3 MB - Last synced at: 22 days ago - Pushed at: 9 months ago - Stars: 129 - Forks: 13

gradientinstitute/aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Language: Python - Size: 4.39 MB - Last synced at: 27 days ago - Pushed at: almost 4 years ago - Stars: 128 - Forks: 10

ermongroup/a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

Language: Jupyter Notebook - Size: 6.42 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 126 - Forks: 28

jonsedar/pymc3_vs_pystan

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: about 9 years ago - Stars: 126 - Forks: 43

SciML/DiffEqBayes.jl

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Language: Julia - Size: 41.5 MB - Last synced at: 7 days ago - Pushed at: 14 days ago - Stars: 124 - Forks: 29

Gabriel-p/pythonMCMC

A list of Python-based MCMC & ABC packages

Language: HTML - Size: 231 KB - Last synced at: about 12 hours ago - Pushed at: 12 days ago - Stars: 123 - Forks: 11

lmc2179/bayesian_bootstrap

bayesian bootstrapping in python

Language: Python - Size: 181 KB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 17

JuliaGaussianProcesses/TemporalGPs.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Language: Julia - Size: 3.68 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 119 - Forks: 5

acerbilab/pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Language: Python - Size: 95.1 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 119 - Forks: 7

lawmurray/Birch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Language: C++ - Size: 13.2 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 115 - Forks: 14

probprog/bopp

BOPP: Bayesian Optimization for Probabilistic Programs

Language: Clojure - Size: 412 KB - Last synced at: 29 days ago - Pushed at: over 7 years ago - Stars: 114 - Forks: 18

ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

Language: Julia - Size: 107 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 113 - Forks: 14

julianfaraway/rexamples

worked R examples

Language: Stan - Size: 21.2 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 113 - Forks: 20

Related Topics
machine-learning 294 python 217 bayesian-statistics 205 mcmc 182 statistics 167 bayesian 151 r 123 probabilistic-programming 114 variational-inference 109 deep-learning 104 stan 88 gaussian-processes 82 bayesian-methods 78 data-science 69 markov-chain-monte-carlo 66 julia 62 pytorch 56 bayesian-data-analysis 56 bayesian-network 52 pymc3 46 bayesian-neural-networks 44 artificial-intelligence 40 r-package 37 bayesian-optimization 36 time-series 34 uncertainty-quantification 34 bayes 34 inference 34 tensorflow 33 bayesian-networks 33 mcmc-sampler 32 probabilistic-models 31 gibbs-sampling 31 astronomy 31 data-analysis 30 nested-sampling 30 hierarchical-models 30 causal-inference 30 reinforcement-learning 29 neural-networks 29 neural-network 26 probabilistic-graphical-models 26 julia-language 26 matlab 25 jags 25 jax 24 parameter-estimation 24 rstats 24 pymc 23 regression 23 metropolis-hastings 23 bayesian-deep-learning 22 uncertainty 22 covid-19 22 statistical-analysis 22 astrophysics 22 probability 22 modeling 22 machine-learning-algorithms 21 particle-filter 21 hamiltonian-monte-carlo 21 sequential-monte-carlo 21 monte-carlo 20 linear-regression 20 python3 20 markov-chain 20 sampling-methods 20 inverse-problems 20 jupyter-notebook 19 deep-neural-networks 19 sampling 18 rstan 18 natural-language-processing 18 statistical-inference 17 gravitational-waves 17 variational-bayes 17 multilevel-models 16 statistical-models 16 graphical-models 16 brms 15 clustering 15 cosmology 15 simulation 15 time-series-analysis 15 model-selection 15 logistic-regression 14 classification 14 normalizing-flows 14 epidemiology 14 simulation-based-inference 14 numpy 14 optimization 14 phylogenetics 14 computer-vision 14 pyro 14 data-visualization 13 bioinformatics 13 mcmc-sampling 13 geophysics 13 ai 13