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.
Gpflow	1,783	17	19	3 months ago	39	August 09, 2023	149	apache-2.0	Python
Gaussian processes in TensorFlow
Master	554			a year ago			7		Jupyter Notebook
A machine learning course using Python, Jupyter Notebooks, and OpenML
Good Papers	231			5 years ago			1
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Keras Gp	219			3 years ago			9	mit	Python
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Understandingbdl	174			2 years ago			3	other	Jupyter Notebook

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)
Survival Analysis Using Deep Learning	138			3 years ago
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
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
Pycrop Yield Prediction	80			2 years ago			1	mit	Python
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

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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

Gpflow ⭐ 1,783

Gaussian processes in TensorFlow

dependent packages 19total releases 39most recent commit 3 months ago

Master ⭐ 554

A machine learning course using Python, Jupyter Notebooks, and OpenML

most recent commit a year ago

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

most recent commit 5 years ago

Keras Gp ⭐ 219

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

most recent commit 3 years ago

Understandingbdl ⭐ 174

most recent commit 2 years 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

Survival Analysis Using Deep Learning ⭐ 138

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

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

Pycrop Yield Prediction ⭐ 80

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

most recent commit 2 years ago

Suggest An Alternative To DeepCGP

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Deepcgp vs D2l En

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Deepcgp vs Master

Deepcgp vs Good Papers

Deepcgp vs Keras Gp

Deepcgp vs Understandingbdl

Deepcgp vs Deep Kernel Transfer

Deepcgp vs Survival Analysis Using Deep Learning

Deepcgp vs Aboleth

Deepcgp vs Pycrop Yield Prediction

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