Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN
https://github.com/eric-erki/awesome-rnn

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Tensorflow - Python, C++
Get started
Recurrent Neural Network Tutorial
Sequence-to-Sequence Model Tutorial
Tutorials
Notebook examples
Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow
Keras - based modular deep learning library similar to Torch
char-rnn-tensorflow - rnn in tensorflow
Theano - Python
tutorial on Theano
Deep Learning Tutorials
RNN for semantic parsing of speech
LSTM network for sentiment analysis
Pylearn2
Blocks
Keras - based modular deep learning library similar to Torch
Lasagne
theano-rnn
Passage
Theano-Lights
Caffe - C++ with MATLAB/Python wrappers
LRCN
Torch - Lua
torchnet
char-rnn - layer RNN/LSTM/GRU for training/sampling from character-level language models
torch-rnn - much faster and memory efficient reimplementation of char-rnn
neuraltalk2
LSTM
Oxford - Machine Learning 2015 Practicals
rnn
PyTorch - Python
Word-level RNN example
Practical PyTorch tutorials
Deep Learning For NLP In PyTorch
DL4J
Documentation - index.html), [Japanese](http://deeplearning4j.org/ja-index.html), [Korean](http://deeplearning4j.org/kr-index.html)) : [RNN](http://deeplearning4j.org/usingrnns.html), [LSTM](http://deeplearning4j.org/lstm.html)
rnn examples
Neon
Brainstorm
Chainer
CGT
RNNLIB
RNNLM
faster-RNNLM
neuraltalk - based RNN/LSTM implementation
gist
Recurrentjs
DARQN - Network
CS224d
Lecture Note 3
Lecture Note 4 - directional RNN, GRU, LSTM
CS231n
Machine Learning
Lecture 12
Lecture 13
Supervised Sequence Labelling with Recurrent Neural Networks
Statistical Language Models based on Neural Networks
Training Recurrent Neural Networks
Recursive Deep Learning for Natural Language Processing and Computer Vision
The Deep Learning Book chapter 10
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[Paper-arXiv - ICML](http://jmlr.org/proceedings/papers/v37/chung15.pdf)] [[Supplementary](http://jmlr.org/proceedings/papers/v37/chung15-supp.pdf)]
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Deep Learning
LSTM: A Search Space Odyssey
A Critical Review of Recurrent Neural Networks for Sequence Learning
Visualizing and Understanding Recurrent Networks
An Empirical Exploration of Recurrent Network Architectures
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[Web - arXiv1](http://arxiv.org/pdf/1410.1090)], [[Paper-arXiv2](http://arxiv.org/pdf/1412.6632)]
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[Paper-arXiv - CVPR](http://www.cs.cmu.edu/~xinleic/papers/cvpr15_rnn.pdf)]
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OpenSLR
LibriSpeech ASR corpus
VoxForge
Flickr 8k
Flickr 30k
Microsoft COCO
The bAbI Project - Dataset for text understanding and reasoning, by Facebook AI Research. Contains:
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[Data
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SQuAD - Stanford Question Answering Dataset : [[Paper](http://arxiv.org/pdf/1606.05250)]
DAQUAR - built upon [NYU Depth v2](http://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html) by N. Silberman et al.
VQA - based on [MSCOCO](http://mscoco.org/) images
Image QA - based on MSCOCO images
Multilingual Image QA - built from scratch by Baidu - in Chinese, with English translation
THUMOS - scale action recognition dataset
MultiTHUMOS
The Unreasonable Effectiveness of RNNs
Understanding LSTM Networks
WildML - neural-networks-tutorial-part-1-introduction-to-rnns/)], [[Part2](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/)], [[Part3](http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/)], [[Part4](http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/)]
RNNs in Tensorflow, a Practical Guide and Undocumented Features
Optimizing RNN Performance
Character Level Language modelling using RNN
Implement an RNN in Python
LSTM Backpropogation
Introduction to Recurrent Networks in TensorFlow
Variable Sequence Lengths in TensorFlow
Written Memories: Understanding, Deriving and Extending the LSTM
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Programming Languages

Python 8 Lua 5 Jupyter Notebook 5 C++ 2 HTML 1

Keywords

deep-learning 3 machine-learning 2 python 2 nlp 2 tutorial 2 examples 1 tensorflow 1 deep-learning-library 1 neural-networks 1 theano 1 vision 1 natural-language-generation 1 natural-language-processing 1 nlg 1 seq2seq 1 lstm 1 neural-network 1 pytorch 1