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Pytorch Kaldi ⭐ 2,138

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.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Multi Class Text Classification Cnn Rnn ⭐ 554

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Nmt Keras ⭐ 514

Neural Machine Translation with Keras

Seq2seq ⭐ 502

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Trafficflowprediction ⭐ 437

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

Rnn Tutorial Gru Lstm ⭐ 424

Language Model GRU with Python and Theano

Theano_lstm ⭐ 309

🔬 Nano size Theano LSTM module

Haste: a fast, simple, and open RNN library

Keras_snli ⭐ 265

Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

Latent_ode ⭐ 255

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

Hipsternet ⭐ 222

All the hipster things in Neural Net in a single repo

Rnn_ctc ⭐ 216

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Data_grand ⭐ 195

2018达观杯文本智能处理挑战赛 Top10解决方案（10/3830）

Neural Summ Cnndm Pytorch ⭐ 194

Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail

Nlp Model ⭐ 184

Learning and practice

Sentence Classification ⭐ 180

Sentence Classifications with Neural Networks

A Keras library for multi-step time-series forecasting.

Train_arch ⭐ 154

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+r GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

Pytorch Rnn Text Classification ⭐ 145

Word Embedding + LSTM + FC

A Joint Chinese segmentation and POS tagger based on bidirectional GRU-CRF

Prediction Flow ⭐ 136

Deep-Learning based CTR models implemented by PyTorch

See Rnn ⭐ 135

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Time_series_forecasting_pytorch ⭐ 127

time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code

Deep Summarization ⭐ 126

Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews

Real Time Stock Market Prediction Using Ensemble Dl And Rainbow Dqn ⭐ 125

Chinese Sentiment Classification ⭐ 117

简单的中文文本情感分类 (MLP, CNN, RNN in PyTorch) - 2019 THU 人工智能导论作业

Tf Layer Norm ⭐ 114

TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.

Rnn From Scratch ⭐ 114

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Rnn Text Classification Tf ⭐ 112

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Lightnn ⭐ 111

The light deep learning framework for study and for fun. Join us!

Sentiment Analysis ⭐ 110

People_relation_extract ⭐ 109

结合BERT+GRU+ATT模型，对自己收集的人物关系数据进行模型训练，用于人物关系抽取。

Keras_text_classification ⭐ 88

implement some fancy text classification models by using keras

Transformers_for_text_classification ⭐ 84

基于Transformers的文本分类

Coupled Multi Layer Attentions ⭐ 82

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

Match Lstm ⭐ 77

A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension

Deep Learning For Aspect Level Sentiment Classification Baselines ⭐ 72

The public state-of-the-art methods for deep learning based ASC

Rnn Theano ⭐ 69

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

Hands On Ml ⭐ 69

Hands-On Machine Learning

RecNet - Recurrent Neural Network Framework

Char Rnn ⭐ 66

Recurrent Neural Networks(GRU) for character-level language models on Chinese, in Python/Theano

Capsnet Nlp ⭐ 64

CapsNet for NLP

Blocks Char Rnn ⭐ 61

Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks

Sg Deep Question Generation ⭐ 61

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

Seq2seq_pointer_generator_summarizer ⭐ 59

A deep learning neural network for abstractive deep summarization

Seq2seq_upgrade_tensorflow ⭐ 56

[unmaintained] Additional Sequence to Sequence Features for TensorFlow

Tensorflow Lstm Sin ⭐ 52

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Textclassification ⭐ 52

deep learning in text classification(keras)

Sentence_classification ⭐ 50

sentence classification using CNN/LSTM/GRU

Code for journal paper "Learning Dual Semantic Relations with Graph Attention for Image-Text Matching", TCSVT, 2020.

Cryptopredictions ⭐ 49

CryptoCurrency prediction using machine learning and deep learning

Remaining Useful Life Prediction Rnn ⭐ 49

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

Keras_bert_classification ⭐ 47

Bert-classification and bert-dssm implementation with keras.

Deepanpr ⭐ 46

A two stage license recognition implement in Yolov3 and ResNet+GRU.

Opentextclassification ⭐ 41

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

Attention Seq2seq Chatbot By Pytorch1.0.1 ⭐ 40

Train_cnn Rnn ⭐ 38

cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+r GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....

Dfcnn Master ⭐ 38

这是一个基于全卷积神经网络的语音识别系统

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Deeplearning Timeseries ⭐ 36

Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Aff Wild Models ⭐ 35

Rnn_sent ⭐ 34

Recurrent neural networks and Dynamic memory networks for sentiment classification

Time Series Forecasting Keras ⭐ 34

time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.

Lstm Fcn Ablation ⭐ 33

Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"

Explainable Automated Medical Coding ⭐ 32

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

Dl_for_rsis ⭐ 30

Deep Leaning (DL) for remote sensing image (RSI) classification.

Pedestrian Trajectories Prediction With Rnn ⭐ 30

Used LSTM and GRU for RNN, KNN for linear regression

Convgru Pytorch ⭐ 29

Convolutional GRU

Keras Rnn Timeseries ⭐ 28

Keras-RNN-timeseries

Nilm Thresholding ⭐ 28

⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

Urban Sound Classification Vs ⭐ 28

城市声音分类 Urban Sound Classification with TensorFlow Keras - MLP, RNN, CNN

Sentence Classification Pytorch ⭐ 28

Sentiment analysis with variable length sequences in pytorch

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Noisereductionusinggru ⭐ 27

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-

Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.

Chinesepoemgeneration ⭐ 25

基于深度学习的古诗生成(deep learning based Chinese poem generation)

Generativelstm ⭐ 24

Learning Accurate Generative Models of Business Processes With LSTM Neural Networks

Brc_pytorch ⭐ 24

Pytorch implementation of bistable recurrent cell with baseline comparisons.

Tensorflow Sentiment Analysis On Amazon Reviews Data ⭐ 23

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Bidirectional Deep Readout Echo State Network ⭐ 23

Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.

Pytorch Batch Seq2seq ⭐ 22

PyTorch implementation of batched GRU encoder and decoder.

Cudnn_rnn_theano_benchmarks ⭐ 22

Cyber Hate detection And tracking on Social mEdia

Pytorch Pos Tagger ⭐ 22

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Deep Learning Coursera ⭐ 21

This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

Identifying Human Mobility via Trajectory Embeddings(TUL)

Dual_am_rnn ⭐ 19

Tensorflow Implementation of the (Dual)-Associative Memory GRUs

predicting yelp review rating using recurrent neural networks

Pinyin2hanzi ⭐ 18

End-to-end translation of Chinese phonetics to characters using bi-directional RNN (LSTM/GRU)

Rnn Attention ⭐ 17

两层attention 的lstm评论情感分析

Awesome Chatbot ⭐ 17

work in progress - python Keras, Tensorflow, or Pytorch implementation of a chatbot or possibly smart-speaker

Sohu 2018 4th Place Solution ⭐ 17

2018搜狐内容识别算法大赛-解决方案（4th）

Cnn_gru_ctc ⭐ 16

基于传统多标签的定长验证码识别和基于GRU+CTC的不定长验证码识别

Relation Classification ⭐ 16

Relation Classification - SEMEVAL 2010 task 8 dataset

The implementation of "QARC: Video Quality Aware Rate Control for Real-Time Video Streaming based on Deep Reinforcement Learning"

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