PyDMD/glappo
Generic Linear Algebra Porting of PyDMD [Ongoing]
This project improves PyDMD, a tool for analyzing complex system dynamics, by making it compatible with various linear algebra frameworks like those used with GPUs. It takes raw data from dynamic systems and helps users understand underlying patterns through Dynamic Mode Decomposition (DMD), making it useful for researchers and engineers working with time-series data.
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Use this if you are a researcher or engineer using PyDMD for Dynamic Mode Decomposition and want to leverage GPU acceleration, integrate DMD into deep learning models, or process large batches of data more efficiently.
Not ideal if you are not using PyDMD for dynamic system analysis or do not need to integrate with GPU-accelerated computing or deep learning frameworks.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 11, 2023
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