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170 search results found

Pytorch Seq2seq ⭐ 5,024

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

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.

Nlp Models Tensorflow ⭐ 1,329

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Cryptocurrencyprediction ⭐ 715

Predict Cryptocurrency Price with Deep Learning

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.

Dynamic Tensorflow Tutorial ⭐ 515

Tensorflow tutorial of building different dynamic recurrent neural network

Nmt Keras ⭐ 514

Neural Machine Translation with Keras

Genmusic_demo_list ⭐ 477

a list of demo websites for automatic music generation research

Trafficflowprediction ⭐ 437

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

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

Numpy_neural_network ⭐ 307

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新 ...

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

Load_forecasting ⭐ 260

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Hands On Deep Learning Algorithms With Python ⭐ 241

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

Rnn_ctc ⭐ 216

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

Sohu_competition ⭐ 216

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Hg Mldl ⭐ 199

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Char Rnn Chinese ⭐ 190

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Nlp Model ⭐ 184

Learning and practice

Keras_lstm_diagram ⭐ 180

Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.

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

See Rnn ⭐ 135

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

Time_series_forecasting_pytorch ⭐ 127

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

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

Recurrentnn.jl ⭐ 96

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

Transformers_for_text_classification ⭐ 84

基于Transformers的文本分类

Neural Disaggregator ⭐ 82

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

Recurrent Ppo Truncated Bptt ⭐ 82

Baseline implementation of recurrent PPO using truncated BPTT

Match Lstm ⭐ 77

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

Lstm Gru Pytorch ⭐ 72

LSTM and GRU in PyTorch

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

Lstm Ctc Ocr ⭐ 69

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm.

Endless Memory Gym ⭐ 65

Challenging Memory-based Deep Reinforcement Learning Agents

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Blocks Char Rnn ⭐ 61

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

Gdax Orderbook Ml ⭐ 53

Application of machine learning to the Coinbase (GDAX) orderbook

Real-time recurrent neural networks for audio plugins

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

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.

Recurrentjava ⭐ 46

Deep Recurrent Neural Nets in Java

Tweet Classify ⭐ 45

Tweet Classification using RNN and CNN

Dl_notebooks ⭐ 42

This repo contains all the notebooks mentioned in blog.

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。

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

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),.....

Deep_learning_recommender_system ⭐ 37

Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python

Deeplearning Timeseries ⭐ 36

Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]

Theano Recurrence ⭐ 35

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

Lstm Fcn Ablation ⭐ 33

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

Rnn Notebooks ⭐ 33

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

Rnn Walkthrough ⭐ 31

Pedestrian Trajectories Prediction With Rnn ⭐ 30

Used LSTM and GRU for RNN, KNN for linear regression

Time Series Prediction ⭐ 29

Basic RNN, LSTM, GRU, and Attention for time-series prediction

Urban Sound Classification Vs ⭐ 28

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

Keras Rnn Timeseries ⭐ 28

Keras-RNN-timeseries

Zeta Learn ⭐ 27

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

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

Noisereductionusinggru ⭐ 27

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

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.

Shifted Label Distribution ⭐ 23

Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)

Cudnn_rnn_theano_benchmarks ⭐ 22

Pytorch Pos Tagger ⭐ 22

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

Do NLP without coding! Simple NLP framework.

Deep Learning Collection ⭐ 19

Tensorflow Deep Learning ⭐ 18

用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/C Network等deep learning模型

Rnn Attention ⭐ 17

两层attention 的lstm评论情感分析

Image Captioning ⭐ 16

Image Captioning from scratch

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

Char Rnn Korean ⭐ 16

Torch를 이용한 문자 단위의 언어(한글) 모델을 훈련하기 위한 멀티 레이어 Recurrent Neural Network(LSTM, GRU, RNN)

Convlstm Pytorch ⭐ 16

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

language models toolkits with hierarchical softmax setting

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.

Blood Glucose Prediction Lstm ⭐ 15

Source code for predicting Blood Glucose Concentration

Deep Learning Models ⭐ 15

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

Lstm Gru From Scratch ⭐ 15

LSTM, GRU cell implementation from scratch in tensorflow

Language Translation With Deep Learning ⭐ 14

Image Captioning With Beam Search ⭐ 14

Generating image captions using Xception Network and Beam Search in Keras

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

Neuralcodetranslator ⭐ 14

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

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