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  • Displaying 19 results
    NVIDIA
    Earth-2 FourCastNet
    FourCastNet predicts global atmospheric dynamics of various weather / climate variables.
    Container
    NVIDIA
    Earth-2 FourCastNet SFNO
    FourCastNet V2 model for predicting atmospheric dynamics.
    Model
    NVIDIA
    Earth-2 CorrDiff
    Correction Diffusion (CorrDiff) is a generative AI model that downscales surface and atmospheric variables to improve the accuracy and resolution of weather data.
    Container
    NVIDIA
    Earth-2 CorrDiff US
    Corrector Diffusion (CorrDiff) US GEFS-HRRR is a generative downscaling model for the contiguous United States.
    Model
    NVIDIA
    Earth-2 FourCastNet 3
    FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
    Model
    NVIDIA Deep Learning Examples
    TFT PyT checkpoint (Base, AMP, Electricity)
    TFT Base PyTorch checkpoint trained with AMP on Electricity dataset
      Model
      NVIDIA Deep Learning Examples
      TFT PyT checkpoint (Base, AMP, Electricity)
      TFT Base PyTorch checkpoint trained with AMP on Electricity dataset
      Model
      NVIDIA
      NVIDIA Time Series Prediction Platform
      NVIDIA Time Series Prediction Platform is a tool designed to compare easily and experiment with arbitrary combinations of forecasting models, time-series datasets, and other configurations.
      Resource
      NVIDIA Deep Learning Examples
      TFT PyT checkpoint (Base, AMP, Traffic)
      TFT Base PyTorch checkpoint trained with AMP on Traffic dataset
        Model
        NVIDIA Deep Learning Examples
        TFT PyT checkpoint (Base, AMP, Traffic)
        TFT Base PyTorch checkpoint trained with AMP on Traffic dataset
        Model
        NVIDIA Deep Learning Examples
        Temporal Fusion Transformer for PyTorch
        Temporal Fusion Transformer is a state-of-the-art architecture for interpretable, multi-horizon time-series prediction.
          Resource
          NVIDIA
          PhysicsNeMo Checkpoints: AFNO_DX_FI-V1-ERA5
          This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), interpolates a prognostic forecast model to a shorter time-step size (by default from 6 h to 1 h).
          Model
          NVIDIA
          NVIDIA PhysicsNeMo Sym Examples Supplemental Materials
          This contains all the supplemental data for PhysicsNeMo Sym examples. This includes validation data, training data, large CSV/STLs, etc. For the python scripts, please refer https://github.com/nvidia/physicsnemo-sym
          Resource
          NVIDIA
          PhysicsNeMo Checkpoints: AFNO_DX_TP-V1-ERA5
          This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour accumulated surface precipitation given 20 atmospheric variables plus invariants.
          Model
          NVIDIA
          NVIDIA PhysicsNeMo Examples Supplemental Materials
          This contains all the supplemental data for PhysicsNeMo examples. This includes files apart from the actual dataset required for training. For the python scripts, please refer https://github.com/nvidia/physicsnemo
          Resource
          NVIDIA
          PhysicsNeMo Checkpoints: AFNO_DX_SR-V1-ERA5
          This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour accumulated surface solar irradiance given 24 atmospheric variables plus invariants.
          Model
          NVIDIA
          PhysicsNeMo Checkpoints: DLESyM-V1-ERA5
          DLESyM-V1-ERA5 is an ensemble forecast model for global earth system modeling, including atmosphere and ocean components. The model operates with 6 hour temporal resolution, forecasting 8 atmospheric variables and 1 oceanic variable.
          Model
          NVIDIA
          PhysicsNeMo Checkpoints: StormCast-V1-ERA5-HRRR
          StormCast-V1-ERA5-HRRR is a mesoscale machine learning AI model that autoregressively predicts 99 state variables at km scale using a 1-hour time step, with dense vertical resolution in the atmosphere boundary layer.
          Model
          NVIDIA
          PhysicsNeMo Checkpoints: AFNO_DX_WG-V1-ERA5
          This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour maximum 3-second wind gusts given 20 atmospheric variables plus invariants.
          Model