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README.md
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---
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license: mit
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tags:
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- pytorch-lightning
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- neural-pde-solver
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- operator-splitting
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---
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# DISCO model checkpoints
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Pretrained checkpoints for the ICML 2026 paper *Test-Time Generalization via Neural
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Operator Splitting* (Serrano et al.).
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| Equation | Checkpoint |
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|---|---|
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| Advection-diffusion (1D) | `advection-diffusion/last.ckpt` |
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| Combined equation (1D) | `combined-equation/last.ckpt` |
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| Reaction-diffusion (Gray-Scott, 2D) | `reaction-diffusion/last.ckpt` |
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| Navier-Stokes / Euler (2D) | `navier-stokes/best-checkpoint.ckpt` |
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Load with PyTorch Lightning:
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```python
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from train.train_generic import DISCOLitModule
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model = DISCOLitModule.load_from_checkpoint("last.ckpt")
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```
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Code: https://github.com/LouisSerrano/disco-ball
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