hyper-models / README.md

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datasets:
  - scailab/hyper-navier-stokes-64-1000
language:
  - en
library_name: pytorch
pipeline_tag: time-series-forecasting

HyPER Model Checkpoints

We provide pytorch model checkpoints for the ICML 2025 paper Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout (https://huggingface.co/papers/2503.10048).

Please see https://github.com/scailab/HyPER for our code and instructions to train and evaluate these models.