Project Name	Stars	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Bayesian Machine Learning	1,587	a year ago			4	apache-2.0	Jupyter Notebook
Notebooks about Bayesian methods for machine learning
Limbo	223	6 months ago			19	other	C++
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Bayesian Optimization	218	7 years ago			4		Jupyter Notebook
Python code for bayesian optimization using Gaussian processes
Bcpd	218	a year ago			9	mit	C
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Pilco	213	3 years ago			12	mit	Python
Bayesian Reinforcement Learning in Tensorflow
Understandingbdl	174	2 years ago			3	other	Jupyter Notebook

Cornell Moe	165	4 years ago			23	other	C++
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Gpstuff	144	a year ago			7	gpl-3.0	MATLAB
GPstuff - Gaussian process models for Bayesian analysis
Miscellaneous R Code	140	3 years ago					R
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
Aboleth	125	6 years ago	10	September 20, 2018	11	apache-2.0	Python
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

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Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

most recent commit a year ago

Limbo ⭐ 223

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

most recent commit 6 months ago

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

most recent commit 7 years ago

Bcpd ⭐ 218

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

most recent commit a year ago

Pilco ⭐ 213

Bayesian Reinforcement Learning in Tensorflow

most recent commit 3 years ago

Understandingbdl ⭐ 174

most recent commit 2 years ago

Cornell Moe ⭐ 165

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

most recent commit 4 years ago

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

most recent commit a year ago

Miscellaneous R Code ⭐ 140

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

most recent commit 3 years ago

Aboleth ⭐ 125

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

total releases 10most recent commit 6 years ago

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Alternative Project Comparisons

Gpstuff vs Bayesian Machine Learning

Gpstuff vs Limbo

Gpstuff vs Bayesian Optimization

Gpstuff vs Bcpd

Gpstuff vs Pilco

Gpstuff vs Understandingbdl

Gpstuff vs Cornell Moe

Gpstuff vs Miscellaneous R Code

Gpstuff vs Aboleth

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