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

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

Custom Model of google-research TFT

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.