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LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

基于LSTM的时间序列预测研究

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

深度学习以进行时间序列预测

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

Hierarchically-Refined Label Attention Network for Sequence Labeling

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM

Forecasting Apple Inc stock prices using hybrid method of EMD (Empirical Mode Decomposition) and various machine learning algorithms such as ARIMA, RNN, Kernel-SVM, Gaussian Process and LSTM