Implementation of Liquid Nets in Pytorch
A simple and minimal open source implementation of "Introducing LFM2: The Fastest On-Device Foundation Models on the Market" from Liquid AI 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, LNN, and Caruana’s Ensemble Selection.
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