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Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm

This is a complete preprocessing, model training, and figure generation repo for "An attention based deep learning model of clinical events in the intensive care unit"

EMNLP2015_code_Long Short-Term Memory Neural Networks for Chinese Word Segmentation

Classification of Urban Sound Audio Dataset using LSTM-based model.

crnn.caffe

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.

Modeling time series of electricity spot prices using Deep Learning.

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使用改进的GAN去生成数据，并使用生成的数据去训练LSTM网络，从而提高预测电池SOH的准确率