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Releases: ICAMS/grace-tensorpotential

Release 0.5.7

17 Dec 11:08
a1411f0

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Bug fix for the presets config

Full Changelog: 0.5.6...0.5.7

Release 0.5.6

11 Dec 14:52
eb59e32

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What's Changed

  • update GRACE-1L/2L presets according to latest foundational models (with suffix _latest)

  • update input file template with new recommended optimizer settings

Full Changelog: 0.5.5...0.5.6

0.5.5

20 Nov 15:15
e72b2c1

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  • bugfix reduce_elements functionality when elements are not ordered lexicographically
  • add _configure_keras_backend to the top-most module

What's Changed

Full Changelog: 0.5.4...0.5.5

0.5.4

19 Nov 14:37
4a9af77

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Windows/MacOS support

What's Changed

Full Changelog: 0.5.3...0.5.4

0.5.3

11 Sep 12:51

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Add support of extxyz. Some bugfixes

What's Changed

  • Enable reading extxyz directly in input.yaml by @pmrv in #12
  • bugfix: elements reduce in BondSpecificRadialBasisFunction

New Contributors

  • @pmrv made their first contribution in #12

Full Changelog: 0.5.2...0.5.3

0.5.2

26 Aug 16:08
de8342d

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Update to 0.5.2:

add more foundational UMLIPS (GRACE-1L/2L-OMAT/OAM-medium/large): checkpoints and saved models
add grace_utils::resave_checkpoint
grace_predict: add stress prediction
grace_preprocess: add EQUI_NEIGH_STRATEGY, add FULL_ELEMENTS preset, add --remove_stage1 arg, add support of cutoff dict
upd documentation
asecalculator.py::TPCalculator: change defaults for padding pad_neighbors_fraction: 0.25 -> 0.05, pad_atoms_number=10->1
gracemaker.py:
-- add dataset plotting
-- add more learning rate schedulers, store epoch into checkpoint
instructions: add MLPRadialFunction_v2, InvariantLayerRMSNorm and TrainableShiftTarget

What's Changed

Full Changelog: 0.5.1...0.5.2

0.5.1

10 Mar 13:34

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Update to 0.5.1: Fine-tuning of foundation models

  • gracemaker: add functionality for finetuning of foundation models
  • add GRACE-*-OMAT foundation models and checkpoints for finetuning
  • add grace_utils for model conversion, exporting and summary
  • README.md: add important notes for model conversion
  • implementation details: using dict-of-instructions instead of list-of-instructions

0.4.5

05 Feb 13:25

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Update to 0.4.5:

  • add df2extxyz, grace_predict and grace_preprocess
  • update gracemaker (including bugfix for finetuning)
  • implement distributed fit and grace_preprocess
  • add layer normalization to GRACE models
  • optimized padding strategy for TPCalculator
  • add pyproject.toml
  • add two OAM foundation models

0.4.4

21 Nov 11:01

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add foundation model: MP_GRACE_2L_r6_11Nov2024

0.4.3

18 Nov 14:16

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bugfix: max_structs is np.array in padding

What's Changed

Full Changelog: 0.4.2...0.4.3