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recurrent-neural-networks
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VIP cheatsheets for Stanford's CS 230 Deep Learning
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May 20, 2020
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
natural-language-processing
deep-learning
machine-translation
recurrent-neural-networks
gan
style-transfer
autoencoder
convolutional-neural-networks
tensorflow-examples
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Feb 29, 2020 - Jupyter Notebook
Simple and comprehensive tutorials in TensorFlow
python
machine-learning
reinforcement-learning
deep-learning
neural-network
tensorflow
recurrent-neural-networks
pattern-recognition
convolutional-neural-networks
object-detection
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Feb 21, 2019 - Python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
machine-learning
deep-learning
neural-network
tensorflow
activity-recognition
recurrent-neural-networks
lstm
rnn
human-activity-recognition
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Mar 14, 2020 - Jupyter Notebook
TensorFlow Tutorials
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Mar 23, 2020 - Jupyter Notebook
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp
natural-language-processing
tutorial
sentiment-analysis
word-embeddings
transformers
cnn
pytorch
recurrent-neural-networks
lstm
rnn
fasttext
bert
sentiment-classification
pytorch-tutorial
pytorch-tutorials
cnn-text-classification
lstm-sentiment-analysis
pytorch-nlp
torchtext
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Sep 8, 2020 - Jupyter Notebook
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
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Sep 2, 2020 - Python
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
deep-neural-networks
deep-learning
speech
dnn
pytorch
recurrent-neural-networks
lstm
gru
speech-recognition
rnn
kaldi
rnn-model
asr
lstm-neural-networks
multilayer-perceptron-network
timit
dnn-hmm
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Jun 11, 2020 - Python
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
machine-learning
tutorial
deep-learning
pytorch
recurrent-neural-networks
artificial-intelligence
generative-adversarial-network
convolutional-neural-networks
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Nov 17, 2019 - Python
Handwriting Synthesis with RNNs ✏️
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Feb 20, 2020 - Python
Top 200 deep learning Github repositories sorted by the number of stars.
machine-learning
deep-neural-networks
deep-learning
deep-reinforcement-learning
recurrent-neural-networks
artificial-intelligence
artificial-neural-networks
convolutional-neural-networks
stargazers-count
top-repositories
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Feb 2, 2020 - Python
Text Classification Algorithms: A Survey
deep-learning
random-forest
text-classification
recurrent-neural-networks
naive-bayes-classifier
dimensionality-reduction
logistic-regression
document-classification
convolutional-neural-networks
text-processing
decision-trees
boosting-algorithms
support-vector-machines
hierarchical-attention-networks
nlp-machine-learning
conditional-random-fields
k-nearest-neighbours
deep-belief-network
rocchio-algorithm
deep-neural-network
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Aug 25, 2020 - Python
Text classifier for Hierarchical Attention Networks for Document Classification
text-classification
recurrent-neural-networks
convolutional-neural-networks
attention-mechanism
hierarchical-attention-networks
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Sep 12, 2019 - Python
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
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Jul 10, 2020 - Jupyter Notebook
Keras Temporal Convolutional Network.
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Sep 10, 2020 - Jupyter Notebook
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
machine-learning
ocr
deep-learning
tensorflow
recurrent-neural-networks
handwritten-text-recognition
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May 7, 2020 - Python
TensorFlow and Deep Learning Tutorials
nlp
machine-learning
reinforcement-learning
deep-learning
neural-network
notebook
tensorflow
keras
deep-reinforcement-learning
cnn
recurrent-neural-networks
neural-networks
autoencoder
tensorflow-tutorials
convolutional-neural-networks
neural-machine-translation
tflearn
tensorlayer
multi-layer-perceptron
deep-learning-tutorial
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Feb 26, 2018
python
machine-learning
caffe
course
theano
reinforcement-learning
deep-learning
curriculum
mxnet
chainer
tensorflow
guide
torch
pytorch
recurrent-neural-networks
convolutional-neural-networks
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Sep 6, 2020
Visualizing RNNs using the attention mechanism
machine-learning
natural-language-processing
deep-neural-networks
translation
deep-learning
recurrent-neural-networks
attention-mechanism
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Jun 25, 2019 - Python
Machine Learning on Sequential Data Using a Recurrent Weighted Average
research
time-series
recurrent-neural-networks
sequential-data
rwa-model
recurrent-weighted-average
deep-memory
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Feb 24, 2020 - Python
RNN-based generative models for speech.
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Jun 23, 2017 - Python
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
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Apr 18, 2017 - Python
Deep Reinforcement Learning based Trading Agent for Bitcoin
agent
bitcoin
trading
deep-reinforcement-learning
recurrent-neural-networks
artificial-intelligence
deep-q-network
deep-sense
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Jun 7, 2018 - Python
Named Entity Recognition using multilayered bidirectional LSTM
natural-language-processing
deep-neural-networks
tensorflow
recurrent-neural-networks
embeddings
lstm
named-entity-recognition
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Mar 10, 2019 - Python
Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
machine-learning
deep-neural-networks
deep-learning
deep-reinforcement-learning
recurrent-neural-networks
artificial-intelligence
artificial-neural-networks
trending-repositories
convolutional-neural-networks
stargazers-count
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Feb 2, 2020 - Python
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
python
opencl
recurrent-neural-networks
speech-recognition
beam-search
family
language-model
handwriting-recognition
ctc
loss
prefix-search
ctc-loss
fak-friend
level-lm
token-passing
best-path
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Jan 9, 2020 - Python
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
tensorflow
recurrent-neural-networks
attention
sequence-labeling
sequence-classification
slot-filling
intent-detection
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Jul 12, 2018 - Python
List of papers, code and experiments using deep learning for time series forecasting
deep-neural-networks
deep-learning
time-series
tensorflow
prediction
python3
pytorch
recurrent-neural-networks
lstm
series-analysis
forecasting-models
lstm-neural-networks
demand-forecasting
series-forecasting
sales-forecasting
time-series-classification
time-series-prediction
time-series-forecasting
series-classification
forecasting-competitions
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Sep 7, 2020 - Jupyter Notebook
Char-RNN implemented using TensorFlow.
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Mar 29, 2018 - Python
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