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Brc_pytorch ⭐ 24

Pytorch implementation of bistable recurrent cell with baseline comparisons.

Imageboard bot with recurrent neural network (RNN, GRU)

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.

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.

Pytorch Pos Tagger ⭐ 22

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

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

Identifying Human Mobility via Trajectory Embeddings(TUL)

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.

4th place solution to Google Cloud & YouTube-8M Video Understanding Challenge

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)

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）

Rnn Attention ⭐ 17

两层attention 的lstm评论情感分析

Ccks_baidu_entity_link ⭐ 17

ccks_2019_百度实体链接技术比赛_第一名解决方案

language models toolkits with hierarchical softmax setting

Act Rte Inference ⭐ 16

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

Convlstm Pytorch ⭐ 16

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

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

Mtranse Tf ⭐ 15

Tensorflow implementation of MTransE+KDCoE, and WK3l-60k dataset

Quant Geom Machine Learning ⭐ 15

Deep Learning Models ⭐ 15

Implementing from scratch: NN, RNN, LSTM, GRU and CNN using theano.

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.

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

Toxic Comment Classification ⭐ 15

Solution to run NN Keras models for Kaggle competition 'Toxic Comment Classification Challenge'

Pytorch A2c ⭐ 15

General implementation of Advantage Actor Critic using Pytorch

Han Text Classification ⭐ 15

Past And Future Nmt ⭐ 14

Implementation of "Modeling Past and Future for Neural Machine Translation"

Im2latex ⭐ 14

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

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.

Gru_android ⭐ 14

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

Neuralcodetranslator ⭐ 14

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Bitcoin Rnn ⭐ 14

rnn/lstm to generate private keys from public keys of known high value

Gru Or Cnn ⭐ 14

Implement GRU or CNN in python/theano to learn the sentences representation for coherence, answer selecting or dialogue.

Master's thesis, Uni Passau

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

Language Translation With Deep Learning ⭐ 14

Neural Machine Translation with RNN/ConvS2S/Transoformer

hacking on the stanford natural language inference (SNLI) corpus (in theano)

Customer Feedback Analysis ⭐ 13

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Sentiment Analysis Torchtext ⭐ 13

Seniment Analysis in Torchtext

Deltarnn ⭐ 12

Latest PyTorch Implementation of DeltaGRU & DeltaLSTM that Exploits Temporal Sparsity in Sequential Data

Pytorchsr ⭐ 12

Pytorch based phoneme recognition (TIMIT phoneme classification)

Syntax Aware Neural Srl ⭐ 12

Text_classify_by_keras ⭐ 12

keras 搭建文本分类模型，textcnn/bi_gru/cnn+rnn_binglian/cnn+rnn_c

Naver Ai Hackathon 2018 ⭐ 12

Interactive Keras Captioning ⭐ 12

Interactive multimedia captioning with Keras

Coref Gru ⭐ 12

Model for processing text sequences with coreference annotations

Drovorub Hunt ⭐ 12

A tool to assist with network-based hunting for GRU's Drovorub malware c2

Text_classification ⭐ 11

总结一些工作学习中的文本分类算法

Arabic Ner ⭐ 11

Subjectivity_classifier ⭐ 11

Detects if a sentence is in a subjective or objective form

CNN-RNN for human activity recognition

Speech_signal_processing ⭐ 11

Singing_voice_separation Pytorch ⭐ 10

Text_classification_pytorch ⭐ 10

deep neural models for text classification implemented in pytorch

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

Igarss2019 Dl4sits ⭐ 10

Machine learning for satellite image time series

Stock Prediction Rnn ⭐ 10

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

Speechrecognition ⭐ 10

Small-footprint Keyword Spotting

Lstm Gru ⭐ 10

LSTM GRU with exact backpropagation derivation and implementation

The Starting Of Nlp ⭐ 10

自然语言处理

Video Captioning ⭐ 10

Fdia Pdm ⭐ 10

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

Attention Gru 3m ⭐ 9

Medicalqa Cnn Bigru ⭐ 9

Rnn Lyapunov Spectrum ⭐ 9

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

Extracting Fsm From Rnns ⭐ 9

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

Easy Anomaly Detection With Keras ⭐ 9

Lets do anomaly detection with keras!

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 proj

Minimal numpy implementation of a RNN using GRUs

Rnn Tutorial ⭐ 9

Signal Processing with Recurrent Neural Networks in TensorFlow

Dlg Segmenter ⭐ 9

Recurrent Neural Networks for Speaker and Turn Taking Classification

Pytorch Rnn Tutorial ⭐ 9

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

Energy_consumption_prediction ⭐ 8

Energy consumption prediction using LSTM/GRU networks in PyTorch

Second-order differentiable PyTorch GRUs in JIT with TorchScript

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 w

Keras Temporal Pooling ⭐ 8

Implementation of temporal pooling using keras

Sentiment Analysis Imdb Movie Review ⭐ 8

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

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Meddistant19 ⭐ 8

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction (COLING 2022)

PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

Siamesenet Text Similarity ⭐ 7

Short text similarity matching model based on deep learning and machine learning

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.

Emotion Detection Rnn ⭐ 7

A bidirectional GRU model to detect discrete emotions in tweets.

Gru Fcn Model For Univariate Time Series Classification ⭐ 7

GRU-FCN model for univariate time series classification

Rnn Attention Network ⭐ 7

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

Readingcomprehension ⭐ 7

Bi-Directional Attention Flow for Machine Comprehensions

Funktional ⭐ 7

functional neural network layers on top of theano

Simplepythonrnn ⭐ 7

Only in native python & numpy

Time Series Demand Forecasting ⭐ 7

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

Keras Layer Normalization Rnn ⭐ 7

Implementation of layer normalization LSTM and GRU for keras.

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