“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.”

2.4k

444

2.4k

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cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

dalinvip

Pythoncnn-bilstmcnn-model

“In PyTorch Learing Neural Networks Likes CNN、BiLSTM”

EEG-DL

SuperBruceJia

Pythonattention-mechanismcnn

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

CryptocurrencyPrediction

khuangaf

Jupyter Notebookbitcoincnn

“Predict Cryptocurrency Price with Deep Learning”

TrafficFlowPrediction

xiaochus

Pythongrulstm

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

load_forecasting

pyaf

Jupyter Notebookarimaelectric-load-forecasting

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

nmt-keras

lvapeab

Pythonattention-is-all-you-needattention-mechanism

“Neural Machine Translation with Keras ”

ConvLSTM-PyTorch

jhhuang96

Pythonconvgruconvlstm

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

baiduyun_deeplearning_competition

ypwhs

Jupyter Notebookcaptchactc-loss

“百度云魅族深度学习应用大赛”

Easy-deep-learning-with-Keras

buomsoo-kim

Jupyter Notebookconvolutional-networksconvolutional-neural-network

“Keras tutorial for beginners (using TF backend)”

Hands-On-Deep-Learning-Algorithms-with-Python

sudharsan13296

Jupyter Notebookadagradautoencoder

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

haste

lmnt-com

C++algorithmapi

“Haste: a fast, simple, and open RNN library”

theano_lstm

JonathanRaiman

Pythonadadeltaautomatic-differentiation

“:microscope: Nano size Theano LSTM module”

CryptoPredictions

alimohammadiamirhossein

Pythonarimabitcoin

“CryptoCurrency prediction using machine learning and deep learning”

Stock-price-prediction-using-GAN

hungchun-lin

Jupyter Notebookgangru

“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.”

rnn_ctc

rakeshvar

Pythoncaptchactc

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

OpenTextClassification

catqaq

Pythonbertbert-text-classification

“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。”

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