The Top 233 Gru Open Source Projects on Github

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Combined Topics

Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

The Top 233 Gru Open Source Projects on Github

Categories > Machine Learning > Gru

Pytorch Seq2seq ⭐ 2,634

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Pytorch Kaldi ⭐ 1,955

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.

Cnn Lstm Bilstm Deepcnn Clstm In Pytorch ⭐ 584

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Nmt Keras ⭐ 514

Neural Machine Translation with Keras

Cryptocurrencyprediction ⭐ 369

Predict Cryptocurrency Price with Deep Learning

Baiduyun_deeplearning_competition ⭐ 363

百度云魅族深度学习应用大赛

Easy Deep Learning With Keras ⭐ 336

Keras tutorial for beginners (using TF backend)

Theano_lstm ⭐ 309

🔬 Nano size Theano LSTM module

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

Hands On Deep Learning Algorithms With Python ⭐ 241

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Haste: a fast, simple, and open RNN library

Rnn_ctc ⭐ 216

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

Load_forecasting ⭐ 187

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Trafficflowprediction ⭐ 175

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

Skip Thoughts.torch ⭐ 142

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Speech Recognition Neural Network ⭐ 128

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Hierarchical Attention Network ⭐ 117

Implementation of Hierarchical Attention Networks in PyTorch

See Rnn ⭐ 112

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

Rnn Text Classification Tf ⭐ 112

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

Pytorch Rnn Text Classification ⭐ 104

Word Embedding + LSTM + FC

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Rnn Theano ⭐ 69

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

Cikm_analyticup_2017 ⭐ 62

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

Gdax Orderbook Ml ⭐ 53

Application of machine learning to the Coinbase (GDAX) orderbook

Tensorflow Lstm Sin ⭐ 52

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

Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)

Recurrentjava ⭐ 46

Deep Recurrent Neural Nets in Java

Dl_notebooks ⭐ 42

This repo contains all the notebooks mentioned in blog.

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

Theano Recurrence ⭐ 35

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Rnn Notebooks ⭐ 33

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Gru_to_predict_timeseries ⭐ 30

使用pytorch搭建的循环神经网络在股票数据时间序列上的应用

Convgru Pytorch ⭐ 29

Convolutional GRU

Theano Kaldi Rnn ⭐ 29

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Imdb Rnn Attention ⭐ 28

Bidirectional GRU with attention mechanism on imdb sentimental analysis dataset

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

Zeta Learn ⭐ 27

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

Noisereductionusinggru ⭐ 24

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

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.

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

Recurrent Ppo Truncated Bptt ⭐ 19

Baseline implementation of recurrent PPO using truncated BPTT

Hierarchical Attention Network ⭐ 19

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Deeplearning.ai.sequence Model Papers ⭐ 18

Tf Ran Cell ⭐ 16

Recurrent Additive Networks for Tensorflow

Relation Classification ⭐ 16

Relation Classification - SEMEVAL 2010 task 8 dataset

language models toolkits with hierarchical softmax setting

Learningmeterspoems ⭐ 16

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

Convlstm Pytorch ⭐ 16

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Image Captioning ⭐ 16

Image Captioning from scratch

Ecgclassifier ⭐ 15

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Lstm Gru From Scratch ⭐ 15

LSTM, GRU cell implementation from scratch in tensorflow

Forestcoverchange ⭐ 15

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

Manhattan Lstm ⭐ 15

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

Tf Nnlm Tk ⭐ 15

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

Real Time Stock Market Prediction Using Ensemble Dl And Rainbow Dqn ⭐ 14

Nlp Project ⭐ 14

Here I sort out some small projects I did in the process of learning NLP.

Deep Learning For Expression Recognition In Image Sequences ⭐ 14

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Bitcoin Prediction ⭐ 14

bitcoin prediction algorithms

Gru_android ⭐ 14

An RNN (GRU) TensorFlow Android App for word prediction.

Kaggle Compendium ⭐ 14

Baseline Python Scripts for Popular Kaggle Competitions

Star_network ⭐ 13

[PAMI21] Tensorflow implementation of STAckable Recurrent Network

Nmt With Attention Mechanism ⭐ 13

In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Python. I have used TensorFlow functionalities like tf.data.Dataset to manage the input pipeline, Eager Execution and Model sub classing to create the model architecture.

Quant Geom Machine Learning ⭐ 12

Neural Model Translation ⭐ 12

A Chinese to English Neural Model Translation Project

Toxic_comments ⭐ 12

Toxic Comment Classification Challenge | Kaggle

Nilm Thresholding ⭐ 12

Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load. NILM can be formulated as regression problem or most often as a classification problem. Most datasets gathered by smart meters allow to define naturally a regression problem, but the corresponding classification problem is a derived one, since it requires a conversion from the power signal to the status of each device by a thresholding method. We treat three different thresholding methods to perform this task, discussing their differences on various devices from the UK-DALE dataset. We analyze the performance of deep learning state-of-the-art architectures on both the regression and classification problems, introducing criteria to select the most convenient thresholding method.

Speech_signal_processing ⭐ 11

Textclassification ⭐ 11

A deep learning text classification demo: CNN/LSTM/GRU for text classification based on pytorch. 深度学习文本分类的入门demo：CNN/RNN/双向LSTM和单向LSTM/双向GRU和单向GRU, 基于pytorch

Sentiment Analysis Imdb Movie Review ⭐ 11

Recurrent Neural Network to classify the sentiments of the IMDb Movie Review.

Stock Prediction Rnn ⭐ 10

Stock Price prediction for Yahoo Inc. using GRU (Gated Recurrant Units) in Keras. Predicting closing price for Yahoo stocks

Fdia Pdm ⭐ 10

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Intrusion Detection System For Iot Networks Using Gated Recurrent Neural Networks Gru ⭐ 10

An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach

Stock Price Prediction Using Gan ⭐ 9

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

Musan_investigation_cnn_rnn ⭐ 9

Evaluation of the classification performance (Speech, Music, and Noise) of 1D (WaveNet) and 2D (MobileNet) CNN and RNN (GRU) on the MUSAN corpus.

[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Stock Prediction Pytorch ⭐ 9

Neural Networks to predict stock price

Minimal numpy implementation of a RNN using GRUs

Sentiment Analysis Mlp Birnn Bigru Attention Model ⭐ 9

mlp/rnn/gru + attention 实现文本情感分析

Respiratory Diseases Recognition Through Respiratory Sound With The Help Of Deep Neural Network ⭐ 8

Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.

Common classes and utils for Tensorflow

Extracting Fsm From Rnns ⭐ 8

Black-box extraction of Finite-State Machines from RNNs.

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Time Series Demand Forecasting ⭐ 7

Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.

Rnn Attention Network ⭐ 7

Here a simple implementation of RNN + attention neural network on IMDB movie reviews.

Simplepythonrnn ⭐ 7

Only in native python & numpy

Readingcomprehension ⭐ 7

Bi-Directional Attention Flow for Machine Comprehensions

A3C Algorithm for classic Atari games

Emotion Detection Rnn ⭐ 7

A bidirectional GRU model to detect discrete emotions in tweets.

Digivision ⭐ 7

A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.

Deeplearning Collection ⭐ 7

Time Series Model ⭐ 6

Model time series with multiple methods,including ARIMA ,ES,RNN,LSTM...

Spoken Language Identification ⭐ 6

Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features

Cryptocurrency_market_prediction ⭐ 6

Time Series based analysis of cryptocurrency prediction using deep learning models

Chatbot With Tensorflow And Keras ⭐ 6

Chatbot using Seq2Seq model and Attention

Speech Commands Recognition ⭐ 6

Recognizing common speech commands using Keras and Tensorflow.

userfriendly bot normally interacts as friend

Rnn Lie Detector ⭐ 6

Lie Detector on CSC Deceptive Speech Dataset using RNN with TensorFlow

AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)

1-100 of 233 projects

Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

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