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1. timehetnet timehetnet Public

   Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar da…

   Python 41 9

2. Chameleon Chameleon Public

   Parametric models, and particularly neural networks, require weight initialization as a starting point for gradient-based optimization. In most current practices, this is accomplished by using some…

   Python 6 5

3. hidra hidra Public

   The performance of gradient-based optimization strategies depends heavily on the initial weights of the parametric model. Recent works show that there exist weight initializations from which optimi…

   Python 1 1

4. graphhetnet graphhetnet Public

   Forked from brinkL/graphhetnet

   Code for the paper "Few-shot human motion prediction for heterogeneous sensors"

   Python