Implementation of Liquid Nets in Pytorch

Hybrid framework combining ML, deep learning, and ensemble methods for accurate time series forecasting across energy, finance, traffic, and weather data. Includes LSTM, Transformer, XGBoost, LiquidML, and Caruana’s Ensemble Selection.