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CamDavidsonPilon /Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

data-science statistics jupyter-notebook bayesian-methods pymc mathematical-analysis

UpdatedJun 25, 2024
Jupyter Notebook

blei-lab /edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

UpdatedMar 18, 2024
Jupyter Notebook

tensorflow /probability

Probabilistic reasoning and statistical analysis in TensorFlow

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

UpdatedDec 6, 2025
Jupyter Notebook

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.

bayesian-methods bayesian bayesian-inference stan bayesian-data-analysis bayesian-statistics

UpdatedDec 16, 2025
C++

avehtari /BDA_course_Aalto

Bayesian Data Analysis course at Aalto

bayesian-methods bayesian bayesian-inference bayes bayesian-data-analysis bayesian-workflow

UpdatedNov 24, 2025
TeX

orbit

uber /orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

python machine-learning time-series orbit regression pytorch forecast bayesian-methods forecasting probabilistic-programming bayesian stan arima regression-models probabilistic bayesian-statistics pyro changepoint pystan exponential-smoothing

UpdatedJun 5, 2025
Python

krasserm /bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder

UpdatedMar 6, 2024
Jupyter Notebook

google /uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

UpdatedDec 16, 2025
Python

google /edward2

A simple probabilistic programming language.

data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming

UpdatedSep 9, 2025
Jupyter Notebook

ericmjl /bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

notebook bayesian-methods neural-networks bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-analysis treatment-groups

UpdatedOct 9, 2023
Jupyter Notebook

stan-dev /rstanarm

rstanarm R package for Bayesian applied regression modeling

r bayesian-methods rstan bayesian multilevel-models bayesian-inference stan r-package rstanarm bayesian-data-analysis bayesian-statistics statistical-modeling

UpdatedDec 15, 2025
R

DAPPER

nansencenter /DAPPER

Data Assimilation with Python: a Package for Experimental Research

chaos bayesian-methods particle-filter kalman-filtering data-assimilation enkf state-estimation bayesian-filter kalman

UpdatedSep 8, 2025
Python

markovmodel /PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂

python markov-model hmm time-series analysis molecular-dynamics bayesian-methods tica hidden-markov-model markov-state-model umbrella-sampling mbar kinetic-modeling molecular-modeling

UpdatedSep 11, 2023
Python

FrankPortman /bayesAB

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

cran r bayesian-methods ab-testing bayesian-tests

UpdatedJun 25, 2021
R

tpapp /DynamicHMC.jl

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

julia julia-language bayesian-methods bayesian bayesian-inference hamiltonian-monte-carlo bayesian-statistics hybrid-monte-carlo

UpdatedNov 25, 2025
Julia

pints-team /pints

Probabilistic Inference on Noisy Time Series

bayesian-methods parameter-estimation numerical-optimization inverse-problems

UpdatedSep 26, 2025
Python

Joshuaalbert /jaxns

Probabilistic Programming and Nested sampling in JAX

bayesian-methods scientific-computing probabilistic-programming nested-sampling model-comparison bayesian-computing jax scientific-machine-learning

UpdatedDec 15, 2025
Python

BayesWatch /deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

kernel deep-learning paper regression uncertainty bayesian-methods classification kernel-methods one-shot-learning uncertainty-quantification gaussian-processes kernels meta-learning shot-learning deep-kernel-learning few-shot-learning gpytorch

UpdatedJan 19, 2022
Python

stan-dev /shinystan

shinystan R package and ShinyStan GUI

r bayesian-methods bayesian bayesian-inference stan r-package shiny-apps statistical-graphics mcmc bayesian-data-analysis bayesian-statistics

UpdatedDec 15, 2025
R

nimble-dev /nimble

The base NIMBLE package for R

r bayesian-methods probabilistic-programming bayesian-inference mcmc hierarchical-models

UpdatedDec 16, 2025
C++

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