yotambraun/APDTFlow
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
Available on PyPI.
Stars
43
Forks
5
Language
Python
License
MIT
Category
Last pushed
Nov 12, 2025
Monthly downloads
159
Commits (30d)
0
Dependencies
11
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