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Top 35 bayesian-methods open source projects

Pyemma
🚂 Python API for Emma's Markov Model Algorithms 🚂
Dapper
Data Assimilation with Python: a Package for Experimental Research
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.
Dynamichmc.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Pints
Probabilistic Inference on Noisy Time Series
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
Loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
Nimble
The base NIMBLE package for R
Probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
Bayesian Cognitive Modeling In Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Forneylab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Da Tutorials
Course on data assimilation (DA)
Deepbayes
Bayesian methods in deep learning Summer School
Rhat ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
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 ;)
Edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Uncertainty Baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
Bayesab
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
multi channel bpr
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
wopr
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
Multiagent-RL
Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
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