nn-theano by dennybritz

Speed up your Neural Network with Theano and the GPU

created at Sept. 8, 2015, 2:32 a.m.

Python

9 +0

61 +0

36 +0

GitHub
nn-from-scratch by dennybritz

Implementing a Neural Network from Scratch

created at Sept. 2, 2015, 9:30 a.m.

Jupyter Notebook

89 -1

1,819 +4

968 +0

GitHub
TensorFlow-Book by BinRoot

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

created at March 6, 2016, 11:30 p.m.

Jupyter Notebook

299 +0

4,453 -1

1,211 -1

GitHub
awesome-torch by carpedm20

A curated list of awesome Torch tutorials, projects and communities

created at Oct. 4, 2015, 3:53 p.m.

Unknown languages

75 +0

626 +1

144 +0

GitHub
learning_torch by chetannaik

Learning to program in Lua using "Torch" and other useful libraries

created at Oct. 6, 2015, 6:32 a.m.

Lua

1 +0

26 +0

4 +0

GitHub
tutorials by torch

A series of machine learning tutorials for Torch7

created at July 14, 2012, 5:33 a.m.

Jupyter Notebook

55 +0

623 +0

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GitHub
stanford-tensorflow-tutorials by chiphuyen

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

created at Nov. 5, 2016, 6:21 p.m.

Python

626 +0

10,302 +0

4,330 +2

GitHub
DeepLearningTutorials by lisa-lab

Deep Learning Tutorial notes and code. See the wiki for more info.

created at Jan. 7, 2010, 6:42 p.m.

Python

425 +0

4,106 -4

2,130 +1

GitHub
intro2deeplearning by rouseguy

Introduction to Deep Learning

created at May 18, 2015, 5:19 p.m.

Python

14 +0

127 +0

81 +0

GitHub
machine-learning-cheat-sheet by soulmachine

Classical equations and diagrams in machine learning

created at May 9, 2013, 7:43 a.m.

TeX

380 +0

6,532 +104

1,176 +18

GitHub
machine-learning by ethen8181

earth americas machine learning tutorials (mainly in Python3)

created at July 24, 2015, 3:35 a.m.

HTML

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GitHub
intro2stats by rouseguy

Introduction to Statistics using Python

created at May 9, 2015, 6:26 a.m.

Jupyter Notebook

63 +0

894 +1

380 +1

GitHub
gplearn by trevorstephens

Genetic Programming in Python, with a scikit-learn inspired API

created at March 26, 2015, 1:01 a.m.

Python

49 +0

1,542 +6

274 +0

GitHub
TheAnalyticsEdge by pedrosan

Notes from the edX Course

created at April 6, 2015, 5:31 p.m.

HTML

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25 +0

GitHub
Multilingual-Latent-Dirichlet-Allocation-LDA by ArtificiAI

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

created at Sept. 3, 2018, 9:52 p.m.

Python

10 +0

82 +1

29 +0

GitHub
MT-Reading-List by THUNLP-MT

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

created at Dec. 3, 2018, 10:45 a.m.

TeX

166 +0

2,410 +0

451 +1

GitHub
awesome-network-embedding by chihming

A curated list of network embedding techniques.

created at Nov. 27, 2016, 10:08 a.m.

Unknown languages

197 +0

2,557 +0

504 +0

GitHub
graph-based-deep-learning-literature by naganandy

links to conference publications in graph-based deep learning

created at Dec. 1, 2017, 2:48 p.m.

Jupyter Notebook

247 +0

4,627 +8

771 -1

GitHub
KRLPapers by thunlp

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

created at Feb. 3, 2018, 3:08 p.m.

TeX

116 +0

1,526 -1

247 +0

GitHub
awesome-graph-classification by benedekrozemberczki

A collection of important graph embedding, classification and representation learning papers with implementations.

created at July 14, 2018, 12:13 p.m.

Python

217 +0

4,704 +0

745 +0

GitHub