Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
D2l En	20,613			3 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.
Gpytorch	3,337	4	79	3 months ago	38	June 02, 2023	343	mit	Python
A highly efficient implementation of Gaussian Processes in PyTorch
Deep Kernel Transfer	142			2 years ago			6		Python
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control	76			a year ago				mit	Python
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Random Fourier Features	66			5 months ago				mit	Python
Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
Candlegp	59			4 years ago				apache-2.0	Jupyter Notebook
Gaussian Processes in Pytorch
Pytorch Minimal Gaussian Process	38			a year ago					Jupyter Notebook
A minimal implementation of Gaussian process regression in PyTorch
Gp	14			6 years ago				mit	Python
Differentiable Gaussian Process implementation for PyTorch
Gptools	12			7 months ago			4	bsd-3-clause	Python
Gaussian processes on graphs and lattices in Stan and pytorch.
Gp_drf	11			5 years ago			3		Python
Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019

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D2l En ⭐ 20,613

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 3 months ago

Gpytorch ⭐ 3,337

A highly efficient implementation of Gaussian Processes in PyTorch

dependent packages 79total releases 38most recent commit 3 months ago

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

most recent commit 2 years ago

Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control ⭐ 76

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

most recent commit a year ago

Random Fourier Features ⭐ 66

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

most recent commit 5 months ago

Candlegp ⭐ 59

Gaussian Processes in Pytorch

most recent commit 4 years ago

Pytorch Minimal Gaussian Process ⭐ 38

A minimal implementation of Gaussian process regression in PyTorch

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Gp ⭐ 14

Differentiable Gaussian Process implementation for PyTorch

most recent commit 6 years ago

Gptools ⭐ 12

Gaussian processes on graphs and lattices in Stan and pytorch.

most recent commit 7 months ago

Gp_drf ⭐ 11

Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019

most recent commit 5 years ago

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Gpytorch vs D2l En

Gpytorch vs Deep Kernel Transfer

Gpytorch vs Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control

Gpytorch vs Random Fourier Features

Gpytorch vs Candlegp

Gpytorch vs Pytorch Minimal Gaussian Process

Gpytorch vs Gp

Gpytorch vs Gptools

Gpytorch vs Gp_drf

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