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
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
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
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
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
GRUV by MattVitelli

GRUV is a Python project for algorithmic music generation.

created at July 27, 2015, 1:16 a.m.

Python

47 +0

798 +0

165 +0

GitHub
kaggle-grasp-and-lift by apaszke

Code for Kaggle EEG Detection competition

created at July 25, 2015, 10:26 p.m.

Lua

9 +0

70 +0

19 +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

3,115 +1

649 +1

GitHub
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
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
char-rnn by karpathy

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

created at May 21, 2015, 5:25 p.m.

Lua

539 +0

11,441 +10

2,571 +0

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
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
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
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
cs231n.github.io by cs231n

Public facing notes page

created at Jan. 5, 2015, 6:43 a.m.

Jupyter Notebook

536 +1

9,956 +19

4,049 +4

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

882 +0

GitHub
python-topic-model by dongwookim-ml

Implementation of various topic models

created at Aug. 29, 2014, 4:01 a.m.

Jupyter Notebook

29 +0

369 +0

174 +0

GitHub
topic-model-lecture-note by dongwookim-ml

lecture notes for probabilistic topic models using ipython notebook

created at Aug. 28, 2014, 7:41 a.m.

Unknown languages

5 +0

22 +0

18 +0

GitHub