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Discover 61 open source projects
Showing 21-40 of 61 projects
pyro-ppl/numpyro
A probabilistic programming library powered by NumPy and JAX for Bayesian inference and MCMC sampling.
gerdm/prml
A collection of Jupyter notebooks with Python code and notes for the book Pattern Recognition and Machine Learning.
markdregan/Bayesian-Modelling-in-Python
A Python tutorial on Bayesian modeling techniques using the PyMC3 library.
mckinsey/causalnex
A Python library to help data scientists infer causation from data rather than just observing correlation.
google/neural-tangents
Neural Tangents is a Python library for fast and easy infinite neural networks using JAX.
rmcelreath/rethinking
An R package for Bayesian data analysis and statistical rethinking.
modAL-python/modAL
A modular active learning framework for Python, focused on machine learning algorithms and APIs.
TuringLang/Turing.jl
Turing.jl is a powerful Bayesian inference library for probabilistic programming in the Julia language.
SheffieldML/GPy
GPy is a Gaussian processes framework in Python, providing a flexible toolkit for Bayesian modeling and machine learning.
xinychen/awesome-latex-drawing
A comprehensive collection of LaTeX code examples for drawing Bayesian networks, graphical models, and technical illustrations.
uncertainty-toolbox/uncertainty-toolbox
A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
krasserm/bayesian-machine-learning
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
GPflow/GPflow
GPflow is a Gaussian processes library built on top of TensorFlow, providing tools for Bayesian machine learning.
raphaelvallat/pingouin
A Python statistical package based on Pandas, providing various statistical methods and tests.
probcomp/Gen.jl
A general-purpose probabilistic programming system for building AI and ML applications.
arviz-devs/arviz
A Python library for exploratory analysis of Bayesian models with a focus on the vibe coding community.
AllenDowney/ThinkBayes
This is a code repository for the book 'Think Bayes', which covers Bayesian probability and statistics.
google/vizier
Research interface for blackbox and hyperparameter optimization using the Google Vizier Service
dotnet/infer
Infer.NET is a C# framework for running Bayesian inference in graphical models, useful for machine learning.
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