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@Rose-STL-Lab

Spatiotemporal Machine Learning

Machine Learning Research Group at University of California, San Diego

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  1. dyffusion dyffusion Public

    [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

    Python 158 20

  2. torchTS torchTS Public

    Time series forecasting with PyTorch

    Python 82 23

  3. LIMO LIMO Public

    generative model for drug discovery

    Python 58 14

  4. Turbulent-Flow-Net Turbulent-Flow-Net Public

    Turbulent flow network source code

    Jupyter Notebook 57 21

  5. ECCO ECCO Public

    Python 52 4

  6. HDR-IL HDR-IL Public

    Python 42 4

Repositories

Showing 10 of 46 repositories
  • torchTS Public

    Time series forecasting with PyTorch

    Rose-STL-Lab/torchTS’s past year of commit activity
    Python 82 MIT 23 14 (4 issues need help) 25 Updated Nov 4, 2024
  • spherical-dyffusion Public

    [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion

    Rose-STL-Lab/spherical-dyffusion’s past year of commit activity
    1 Apache-2.0 0 0 0 Updated Oct 31, 2024
  • symmetry-ode-discovery Public

    Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.

    Rose-STL-Lab/symmetry-ode-discovery’s past year of commit activity
    0 0 0 0 Updated Oct 31, 2024
  • MCD Public

    Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"

    Rose-STL-Lab/MCD’s past year of commit activity
    Python 17 0 0 0 Updated Oct 30, 2024
  • dyffusion Public

    [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

    Rose-STL-Lab/dyffusion’s past year of commit activity
    Python 158 Apache-2.0 20 3 0 Updated Oct 18, 2024
  • AnomLLM Public
    Rose-STL-Lab/AnomLLM’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Oct 16, 2024
  • rose-stl-lab.github.io Public

    UCSD RoseLab Server Documentation

    Rose-STL-Lab/rose-stl-lab.github.io’s past year of commit activity
    1 0 0 0 Updated Oct 16, 2024
  • AutoSTPP Public

    Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.

    Rose-STL-Lab/AutoSTPP’s past year of commit activity
    Jupyter Notebook 24 MIT 2 0 0 Updated Oct 14, 2024
  • ATLAS Public
    Rose-STL-Lab/ATLAS’s past year of commit activity
    Python 1 0 0 0 Updated Oct 10, 2024
  • Interactive-Neural-Process Public
    Rose-STL-Lab/Interactive-Neural-Process’s past year of commit activity
    Python 5 1 0 0 Updated Oct 9, 2024
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