awesome-random-forest by kjw0612

Random Forest - a curated list of resources regarding random forest

created at June 15, 2015, 10:23 a.m.

Unknown languages

119 +0

1,147 -1

331 +0

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
tutorials by catboost

CatBoost tutorials repository

created at June 25, 2018, 11:18 a.m.

Jupyter Notebook

35 +0

971 +3

397 +0

GitHub
AndroidTensorFlowMachineLearningExample by amitshekhariitbhu

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

created at March 6, 2017, 4:34 a.m.

Java

82 +0

1,432 +1

427 -1

GitHub
skflow by tensorflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

created at Nov. 18, 2015, 7:55 p.m.

Python

161 +0

3,180 +0

441 +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
have-fun-with-machine-learning by humphd

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

created at Dec. 29, 2016, 5:43 p.m.

Python

191 +0

5,054 +1

539 +0

GitHub
machine-learning by ethen8181

earth americas machine learning tutorials (mainly in Python3)

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

HTML

129 +0

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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
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

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771 -1

GitHub
DataScienceR by ujjwalkarn

a curated list of R tutorials for Data Science, NLP and Machine Learning

created at Oct. 8, 2014, 7:29 a.m.

R

236 +0

1,967 +0

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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
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

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1,176 +18

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-rnn by kjw0612

Recurrent Neural Network - A curated list of resources dedicated to RNN

created at June 15, 2015, 10:21 a.m.

Unknown languages

619 +0

6,018 +2

1,437 +2

GitHub
DataSciencePython by ujjwalkarn

common data analysis and machine learning tasks using python

created at Oct. 6, 2015, 3:26 p.m.

Python

349 +0

5,099 +5

1,489 +1

GitHub
ML-YouTube-Courses by dair-ai

📺 Discover the latest machine learning / AI courses on YouTube.

created at June 25, 2021, 9:39 a.m.

Unknown languages

353 +0

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1,726 +4

GitHub
awesome-rl by aikorea

Reinforcement learning resources curated

created at Aug. 10, 2015, 5:45 a.m.

Unknown languages

444 +0

8,661 +14

1,822 +1

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