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@SmartTURB

Smart-TURB

This is the repository of the codes developed within the Smart-TURB ERC Advanced Project (N. 882340) coordinated by Prof. Luca Biferale

Popular repositories Loading

  1. diffusion-lagr diffusion-lagr Public

    Synthetic Lagrangian Turbulence by Generative Diffusion Models

    Python 21 6

  2. repaint-turb repaint-turb Public

    Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models: RePaint

    Python 2

  3. palette-turb palette-turb Public

    Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models: Palette

    Python 2

  4. Optimal-tracking-strategies-in-a-turbulent-flow Optimal-tracking-strategies-in-a-turbulent-flow Public

    This code study optimal strategies to catch a drifting target in turbulence. The code is written in C language.

    C 1 1

Repositories

Showing 4 of 4 repositories
  • diffusion-lagr Public

    Synthetic Lagrangian Turbulence by Generative Diffusion Models

    Python 21 MIT 6 0 0 Updated Nov 14, 2024
  • palette-turb Public

    Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models: Palette

    Python 2 MIT 0 0 0 Updated Nov 26, 2023
  • repaint-turb Public

    Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models: RePaint

    Python 2 MIT 0 0 0 Updated Nov 23, 2023
  • Optimal-tracking-strategies-in-a-turbulent-flow Public

    This code study optimal strategies to catch a drifting target in turbulence. The code is written in C language.

    C 1 BSD-2-Clause 1 0 0 Updated Jun 22, 2023

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