Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
D2l En	21,912			4 months ago	2	November 13, 2022	115	other	Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Gpflow	1,826	17	19	a month ago	39	August 09, 2023	149	apache-2.0	Python
Gaussian processes in TensorFlow
Keras Gp	219			3 years ago			9	mit	Python
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Pilco	213			4 years ago			12	mit	Python
Bayesian Reinforcement Learning in Tensorflow
Dynaml	198		1	a year ago	2	November 21, 2018	21	apache-2.0	Scala
Scala Library/REPL for Machine Learning Research
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
Hyper Engine	69	1		6 years ago	2	February 10, 2018	8	apache-2.0	Python
Python library for Bayesian hyper-parameters optimization
Deepcgp	57			5 years ago				mit	Jupyter Notebook
Deep convolutional gaussian processes.
Fbnn	53			4 years ago					Python
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Bayesian Optimization	31			6 years ago			2		Python
Reference implementation of Optimistic Expected Improvement.

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D2l En ⭐ 21,912

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

total releases 2most recent commit 4 months ago

Gpflow ⭐ 1,826

Gaussian processes in TensorFlow

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Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

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Pilco ⭐ 213

Bayesian Reinforcement Learning in Tensorflow

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Dynaml ⭐ 198

Scala Library/REPL for Machine Learning Research

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Aboleth ⭐ 125

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

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Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

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Deepcgp ⭐ 57

Deep convolutional gaussian processes.

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Fbnn ⭐ 53

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

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Bayesian Optimization ⭐ 31

Reference implementation of Optimistic Expected Improvement.

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