https://github.com/snap-stanford/lamp
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
https://github.com/snap-stanford/lamp
controllable learned-simulation mesh-based multi-resolution physics-simulation reinforcement-learning
Last synced: 10 months ago
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[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
- Host: GitHub
- URL: https://github.com/snap-stanford/lamp
- Owner: snap-stanford
- License: mit
- Created: 2023-02-07T01:20:13.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-01-30T14:29:08.000Z (over 2 years ago)
- Last Synced: 2025-06-08T22:09:49.471Z (11 months ago)
- Topics: controllable, learned-simulation, mesh-based, multi-resolution, physics-simulation, reinforcement-learning
- Language: Python
- Homepage:
- Size: 16.9 MB
- Stars: 40
- Watchers: 40
- Forks: 5
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: license