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 ;)
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Jun 25, 2024 - Jupyter Notebook
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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
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Mar 18, 2024 - Jupyter Notebook
Probabilistic reasoning and statistical analysis in TensorFlow
data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks probabilistic-programming
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Aug 17, 2025 - Jupyter Notebook
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.
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Aug 22, 2025 - C++
Bayesian Data Analysis course at Aalto
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Sep 1, 2025 - TeX
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
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Jun 5, 2025 - Python
Notebooks about Bayesian methods for machine learning
machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder
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Mar 6, 2024 - Jupyter Notebook
High-quality implementations of standard and SOTA methods on a variety of tasks.
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Jun 12, 2025 - Python
A simple probabilistic programming language.
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Jul 3, 2025 - Jupyter Notebook
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
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Oct 9, 2023 - Jupyter Notebook
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
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May 27, 2025 - R
Data Assimilation with Python: a Package for Experimental Research
chaos bayesian-methods particle-filter kalman-filtering data-assimilation enkf state-estimation bayesian-filter kalman
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Aug 29, 2025 - Python
🚂 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
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Sep 11, 2023 - Python
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
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Jun 25, 2021 - R
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
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Jul 30, 2025 - Julia
Probabilistic Inference on Noisy Time Series
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Feb 10, 2025 - Python
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
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Jan 19, 2022 - Python
Probabilistic Programming and Nested sampling in JAX
bayesian-methods scientific-computing probabilistic-programming nested-sampling model-comparison bayesian-computing jax scientific-machine-learning
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Aug 14, 2025 - Python
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
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Jan 15, 2025 - R
The base NIMBLE package for R
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Sep 1, 2025 - C++
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