Topic: recurrent-neural-networks

pytorch-tutorial

pytorch-tutorial

1746

PyTorch Tutorial for Deep Learning Researchers

brain.js

brain.js

540

Neural networks in JavaScript

machine-learning-curriculum

machine-learning-curriculum

208

:computer: Make machines learn so that you don't have to program them; The ultimate list

recurrent-entity-networks

recurrent-entity-networks

185

An implementation of "Tracking the World State with Recurrent Entity Networks".

LSTM-Human-Activity-Recognition

LSTM-Human-Activity-Recognition

158 0,5

Human activity recognition using TensorFlow on smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

tensorflow-lstm-regression

tensorflow-lstm-regression

156

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Deep-Spying

Deep-Spying

111

Spying using Smartwatch and Deep Learning

RNNSharp

RNNSharp

74

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types

Dali

Dali

55

:art: Buttery Smooth Automatic Differentiation in C++

dnc-theano

dnc-theano

47

DNC-theano : A theano implementation of DeepMind's DNC model

im2latex-tensorflow

im2latex-tensorflow

43

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

CodeGAN

CodeGAN

42

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks :octocat: