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
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
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
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
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
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
rnn-tutorial-gru-lstm by dennybritz

Language Model GRU with Python and Theano

created at Oct. 12, 2015, 8:51 a.m.

Python

39 +0

492 +0

220 +0

GitHub
visual-qa by avisingh599

[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering

created at Oct. 27, 2015, 3:26 p.m.

Python

35 +0

481 +0

186 +0

GitHub
TensorFlow-Examples by aymericdamien

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

created at Nov. 11, 2015, 2:21 p.m.

Jupyter Notebook

2,056 +0

43,236 +11

14,992 -3

GitHub
neural-vqa by abhshkdz

grey question Visual Question Answering in Torch

created at Nov. 16, 2015, 11:47 a.m.

Lua

27 +0

489 +0

90 +0

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
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
machine-learning-for-software-engineers by ZuzooVn

A complete daily plan for studying to become a machine learning engineer.

created at Oct. 9, 2016, 9:20 p.m.

Unknown languages

1,508 +2

27,778 +31

6,177 +3

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
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
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
AndroidTensorFlowMNISTExample by amitshekhariitbhu

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

created at March 16, 2017, 3:16 p.m.

Java

28 +0

461 +1

99 +0

GitHub
seq2seq-signal-prediction by guillaume-chevalier

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

created at March 31, 2017, 7:26 p.m.

Jupyter Notebook

41 +0

1,079 +0

294 +0

GitHub