Top 273 rnn open source projects

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

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python shell nlp platform machine-learning privacy simulation cv distributed-computing cnn pytorch personalization mnist rnn cifar10 differential-privacy cifar100 heterogeneity federated-learning fmnist non-iid

rnn2d

CPU and GPU implementations of some 2D RNN layers

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C++Cuda lua CMake python c deep-learning lstm rnn

medical-diagnosis-cnn-rnn-rcnn

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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python text-classification tensorflow cnn lstm rnn rcnn

deep-improvisation

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

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python music machine-learning tensorflow keras lstm rnn deeplearning jazz

question-pair

A siamese LSTM to detect sentence/question pairs.

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python tensorflow lstm quora rnn rnn-tensorflow siamese quora-question-pairs multi-layer-rnn

ScrambleTests

Running compostionality tests on InferSent embedding on SNLI

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Jupyter Notebook python rnn scramble

GAN-RNN Timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

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Jupyter Notebook python machine-learning tensorflow cnn gan forecasting rnn seq2seq tensorflow2

NoiseReductionUsingGRU

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

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python tensorflow gru rnn noise-reduction

Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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python prediction pytorch stock lstm rnn seq2seq attention fasttext ta stock-prediction darnn

myDL

Deep Learning

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python C++cnn dnn lstm gru rnn

CDRP TF

CNN Event Detection & RNN Phase Picking (in Tensorflow)

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python deep-learning tensorflow cnn rnn earthquake-detection phase-picking

GestureAI

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

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Jupyter Notebook python ios demo machine-learning deep-neural-networks deep-learning tensorflow keras dataset rnn keras-models keras-tensorflow coreml recurrent-nerural-network

ConvLSTM-PyTorch

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

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python time-series lstm gru rnn spatio-temporal encoder-decoder convlstm convgru pytorch-implementation

char-VAE

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

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Jupyter Notebook python tensorflow generative-model rnn vae tensorflow-experiments rnn-tensorflow tensorflow-models rnn-encoder-decoder vrae

automatic-personality-prediction

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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python Jupyter Notebook deep-learning text-classification keras cnn recurrent-neural-networks lstm rnn attention convolutional-neural-networks attention-mechanism cnn-keras personality dialogue-data attention-lstm

Speech-Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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python shell audio deep-learning tensorflow end-to-end cnn lstm speech-recognition rnn feature-vector data-processing phonemes timit-dataset layer-normalization rnn-encoder-decoder

mango

Question-Answering NLP model with character-level RNN (TensorFlow).

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python shell nlp machine-learning deep-learning tensorflow rnn character-level-rnn

Tensorflow-RNN-Tutorial

Tensorflow RNN Tutorial

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python Batchfile tensorflow rnn

yunyi

2018“云移杯- 景区口碑评价分值预测

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Jupyter Notebook nlp text-classification keras cnn rnn

theano-recurrence

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

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python theano language-modeling lstm gru rnn bidirectional-rnn bidirectional-gru bidirectional-lstm

ECGClassifier

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

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Jupyter Notebook swift deep-learning time-series neural-network tensorflow cnn bayesian-network gru rnn

lstm-electric-load-forecast

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

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python deep-learning keras lstm rnn lstm-neural-networks time-series-prediction

sequence-rnn-py

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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python theano keras recurrent-neural-networks lstm rnn

DeepLearning-Lab

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

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python word2vec rnn seq2seq bidirectional-rnn cross-entropy

chainer-notebooks

Jupyter notebooks for Chainer hands-on

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Jupyter Notebook python deep-learning chainer word2vec jupyter-notebook cnn dqn rnn convolutional-neural-networks language-model

Deep-Learning-Coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

SpeakerDiarization RNN CNN LSTM

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

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python audio tensorflow cnn recurrent-neural-networks lstm rnn mlp cnn-model speaker-diarization speaker-diarization-problem speakerdiarization-rnn separating-speakers

air writing

Online Hand Writing Recognition using BLSTM

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C#Classic ASP python ShaderLab GLSL HLSL nlp tensorflow vr lstm rnn deeplearning handwriting-recognition

modules

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

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python machine-learning deep-learning paper transformers pytorch rnn modularity generalization weight-sharing

novel writer

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

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python deep-learning writer pytorch lstm rnn hongloumeng

Customer-Feedback-Analysis

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

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python text-classification tensorflow cnn rnn sentence-classification complaints customer-feedback customer-feedback-analysis

FARED for Anomaly Detection

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

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python microphone dataset rnn rnn-encoder-decoder anomaly-detection fast-adaptation smd-assembly-machine

Music-generation-cRNN-GAN

cRNN-GAN to generate music by training on instrumental music (midi)

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python Jupyter Notebook midi generative-adversarial-network gan neural-networks rnn music-generation

sp2cp

Imageboard bot with recurrent neural network (RNN, GRU)

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python bot deep-learning neural-network keras rnn 2ch rnn-language-model

solar-forecasting-RNN

Multi-time-horizon solar forecasting using recurrent neural network

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Jupyter Notebook python pytorch solar rnn predictive-modeling renewable-energy solar-forecasting multi-time-horizon

Text-Generate-RNN

中国古诗生成（文本生成）

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python tensorflow poetry text-generation rnn chinese char-rnn

VariationalNeuralAnnealing

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

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Jupyter Notebook python tensorflow recurrent-neural-networks neural-networks rnn simulated-annealing optimization-algorithms quantum-annealing annealing variational-neural-annealing

cnn-rnn-classifier

A practical example on how to combine both a CNN and a RNN to classify images.

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python keras cnn classification rnn

Solar-Rad-Forecasting

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

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Jupyter Notebook HTML data-science machine-learning deep-learning forecasting rnn convolutional-neural-networks rnn-tensorflow

Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

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python deep-learning stock lstm stock-price-prediction rnn darnn dstprnn dstp-rnn

cnn-rnn-bitcoin

Reusable CNN and RNN model doing time series binary classification

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Jupyter Notebook python time-series cnn classification rnn bitcoin-ticker-data

ArrayLSTM

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..