thuml/dynamical-diffusion
About Code release for "Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models" (ICLR 2025)
This project helps researchers and engineers in fluid dynamics analyze and simulate complex systems like turbulence. It takes raw turbulence data and generates new, realistic samples of turbulent flows, which can then be evaluated for accuracy. This is designed for experts working with high-dimensional temporal dynamics and predictive modeling.
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Use this if you need to generate realistic, synthetic time-series data for complex physical phenomena, specifically focusing on turbulent flow dynamics.
Not ideal if you are looking for a general-purpose tool for simple time-series forecasting or if you lack expertise in fluid dynamics and diffusion models.
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Language
Python
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Last pushed
Jul 05, 2025
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