dependabot[bot]
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9111030217
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Bump torch from 2.11.0 to 2.13.0 in /tools/pao-ml (#5604)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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2026-07-17 23:04:52 +02:00 |
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Ole Schütt
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b2ac3daf86
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PAO-ML: Add pao-diff.py tool (#5577)
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2026-07-10 16:55:19 +02:00 |
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Ole Schütt
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37a23bdd17
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Docker: Upgrade python packages (#5172)
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2026-05-12 13:31:01 +02:00 |
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Ole Schütt
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49c4bc4af3
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Docker: Reduce number of pinned python packages (#5171)
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2026-05-12 11:44:33 +02:00 |
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dependabot[bot]
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30cea4fbde
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Bump pillow from 12.1.1 to 12.2.0 in /tools/pao-ml (#5062)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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2026-04-14 12:48:11 +02:00 |
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Ole Schütt
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4c4babd79f
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PAO-ML: Fix NaNs in forces (#5052)
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2026-04-09 19:44:26 +02:00 |
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dependabot[bot]
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e51a9ede8a
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Bump aiohttp from 3.13.3 to 3.13.4 in /tools/pao-ml (#5041)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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2026-04-07 12:38:38 +02:00 |
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SY Wang
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1a3cdd10ab
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PAO-ML: Resolve conflicts in Misc testing (#5015)
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2026-03-30 11:25:09 +02:00 |
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SY Wang
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e4d53b9f1c
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PAO-ML: Pin versions of all Python packages
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2026-02-18 11:45:48 +01:00 |
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Ole Schütt
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7c2fd9f766
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PAO-ML: Split samples into training and validation set
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2026-02-08 18:37:33 +01:00 |
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Ole Schütt
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c469d76320
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Docker: Upgrade Python packages of misc test
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2025-12-04 22:59:29 +01:00 |
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Ole Schütt
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e966546746
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PAO-ML: Migrate to NequIP framework
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2025-10-01 16:25:41 +02:00 |
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Ole Schütt
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f43d9a9903
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Docker: Fix misc test and pin python packages
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2025-04-09 15:05:27 +02:00 |
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Ole Schütt
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a56406a557
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PAO-ML: Allow for training data to have less than num_neighbors atoms
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2025-02-07 18:36:11 +01:00 |
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Ole Schütt
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02201f86e3
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PAO: Make mypy happy with torch 2.6.0
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2025-02-04 22:26:08 +01:00 |
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Ole Schütt
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1e46fa001c
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PAO-ML: Stabilize test and add TZV2P basis set
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2025-01-08 22:43:56 +01:00 |
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Ole Schütt
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9f0ae1801a
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PAO-ML: Add scripts for training an equivariant model
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2025-01-07 23:16:10 +01:00 |
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