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recurrent-neural-networks
Repositories 874
VIP cheatsheets for Stanford's CS 230 Deep Learning
Updated Feb 18, 2019
Simple and comprehensive tutorials in TensorFlow
deep-learning
tensorflow
reinforcement-learning
machine-learning
pattern-recognition
object-detection
python
convolutional-neural-networks
recurrent-neural-networks
neural-network
Python
Updated Feb 21, 2019
TensorFlow Tutorials
Jupyter Notebook
Updated Jul 2, 2018
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…
machine-learning
deep-learning
lstm
human-activity-recognition
neural-network
rnn
recurrent-neural-networks
tensorflow
activity-recognition
Jupyter Notebook
Updated Oct 1, 2018
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…
deep-learning
tensorflow-examples
convolutional-neural-networks
recurrent-neural-networks
autoencoder
gan
style-transfer
natural-language-processing
machine-translation
Jupyter Notebook
Updated Jun 21, 2018
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Python
Updated Dec 21, 2018
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Jupyter Notebook
Updated Jul 4, 2018
Top 200 deep learning Github repositories sorted by the number of stars.
deep-learning
deep-neural-networks
deep-reinforcement-learning
convolutional-neural-networks
recurrent-neural-networks
stargazers-count
artificial-neural-networks
artificial-intelligence
machine-learning
top-repositories
Python
Updated Sep 8, 2018
Text classifier for Hierarchical Attention Networks for Document Classification
text-classification
hierarchical-attention-networks
attention-mechanism
recurrent-neural-networks
convolutional-neural-networks
Python
Updated Oct 25, 2018
TensorFlow and Deep Learning Tutorials
recurrent-neural-networks
convolutional-neural-networks
deep-learning-tutorial
tensorflow
tensorlayer
keras
deep-reinforcement-learning
tensorflow-tutorials
deep-learning
machine-learning
notebook
autoencoder
multi-layer-perceptron
reinforcement-learning
tflearn
neural-networks
neural-network
neural-machine-translation
nlp
cnn
Updated Feb 26, 2018
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is…
speech-recognition
gru
dnn
kaldi
rnn-model
pytorch
timit
deep-learning
deep-neural-networks
recurrent-neural-networks
multilayer-perceptron-network
lstm
lstm-neural-networks
speech
asr
rnn
dnn-hmm
Perl
Updated Mar 20, 2019
Handwriting Synthesis with RNNs ✏️
Python
Updated Oct 2, 2018
machine-learning
python
course
deep-learning
curriculum
guide
reinforcement-learning
convolutional-neural-networks
tensorflow
mxnet
torch
pytorch
caffe
theano
chainer
recurrent-neural-networks
Updated Mar 7, 2019
Machine Learning on Sequential Data Using a Recurrent Weighted Average
recurrent-neural-networks
sequential-data
time-series
research
rwa-model
recurrent-weighted-average
deep-memory
Python
Updated Jul 2, 2018
RNN-based generative models for speech.
Python
Updated Jun 23, 2017
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (D…
Python
Updated Apr 18, 2017
Visualizing RNNs using the attention mechanism
Named Entity Recognition using multilayered bidirectional LSTM
deep-neural-networks
embeddings
recurrent-neural-networks
named-entity-recognition
lstm
natural-language-processing
tensorflow
Python
Updated Mar 10, 2019
My Reading Lists of Deep Learning and Natural Language Processing
paper
source-code-link
deep-learning
natural-language-processing
reinforcement-learning
commonsense
recurrent-neural-networks
convolutional-neural-networks
sequence-labeling
neural-models
neural-machine-translation
deep-networks
language-model
robotics
machine-learning
TeX
Updated Mar 22, 2019
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
sequence-labeling
sequence-classification
recurrent-neural-networks
tensorflow
attention
slot-filling
intent-detection
Python
Updated Jul 12, 2018
Char-RNN implemented using TensorFlow.
Python
Updated Mar 29, 2018
Deep Reinforcement Learning based Trading Agent for Bitcoin
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
lstm
tensorflow
recurrent-networks
deep-learning
sequence-prediction
tensorflow-lstm-regression
jupyter
time-series
recurrent-neural-networks
Jupyter Notebook
Updated May 16, 2018
Keras Temporal Convolutional Network.
Python
Updated Mar 22, 2019
Keras Implementations of Deep Learning Architectures for NLP
python3
keras
tensorflow
deep-learning
convolutional-neural-networks
sentence-classification
saliency-map
cnn-keras
cnn-text-classification
visualization
embeddings
nlp
self-attention
hierarchical-attention-network
gated-recurrent-units
recurrent-neural-networks
hierarchical-attention-networks
Jupyter Notebook
Updated Sep 4, 2018
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
Python
Updated Nov 2, 2017
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
neural-networks
framework
jvm
kotlin
nlp
machine-learning
convolutional-neural-networks
recurrent-neural-networks
seq2seq
artificial-intelligence
cuda
gpu
nvidia
Kotlin
Updated Jan 15, 2018
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such a…
rnn
crf
deep-learning
machine-learning
c-sharp
dotnet
sequence-labeling
rnn-model
recurrent-neural-networks
nlp
lstm
C#
Updated Jan 11, 2019
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
handwritten-text-recognition
ocr
recurrent-neural-networks
tensorflow
deep-learning
machine-learning
Python
Updated Mar 15, 2019

