APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily
Compact sequence-only neural propagator for protein torsion dynamics. 2.39x lower JSD than Microsoft Timewarp at 3000x fewer parameters. pip install alphadynamics.
