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README.md

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+---
+license: mit
+tags:
+  - cad
+  - brep
+  - machining-feature-recognition
+  - graph-neural-network
+---
+
+# BrepMFR Model Weights
+
+Model checkpoints for [BrepMFR](https://github.com/cad-results/BrepMFR) — machining feature recognition in B-rep models through deep learning and domain adaptation.
+
+## Files
+
+| Path | Description | F1 Score |
+|------|-------------|----------|
+| `trial1_ss/best-epoch41-f1_0.9476.ckpt` | Best overall (full dataset) | 0.9476 |
+| `trial1_ss/last.ckpt` | Last epoch, full dataset | — |
+| `trial1_ss1500/best-epoch46-f1_0.9455.ckpt` | Best, 1500 sample subset | 0.9455 |
+| `trial1_ss1500/last.ckpt` | Last epoch, ss1500 | — |
+| `trial1_ss1000/best-epoch28-f1_0.9146.ckpt` | Best, 1000 sample subset | 0.9146 |
+| `trial1_finetune_ss/best-epoch26-f1_0.9356.ckpt` | Best finetuned | 0.9356 |
+| `pipe_classifier/best-epoch64-f1_0.5517.ckpt` | Pipe classifier (different task) | 0.5517 |
+| `face_seg_heavy/best-epoch43-f1_0.8626.ckpt` | Face segmentation (heavy arch) | 0.8626 |
+| `brepsimplifier/f1_0.9415.ckpt` | BrepFormer for defeaturing | 0.9415 |
+
+## Source Code
+
+[https://github.com/cad-results/BrepMFR](https://github.com/cad-results/BrepMFR)