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Releases: steineggerlab/alphafold

v2.3.6

28 Dec 07:22
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  • Fix issues with Jax >= 0.4 creating NaNs
  • Fix broken SCOPData import in BioPython 1.82
  • Move tensorflow-cpu dependency to ColabFold

v2.3.5

29 Apr 06:11
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  • Update OpenMM imports to work with new OpenMM API (>7.7)

v2.3.4

18 Feb 15:13
41807ea
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  • move tolerance compute inside module.py
  • cast outputs to np.asarray(?,np.float16) to avoid memory leaks

v2.3.3

14 Feb 17:15
8f50ccb
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  • fix memory leaks
  • use bfloat16 for representations
  • move confidence compute inside module.py

2.3.2

11 Feb 01:25
ba75383
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  • (bugfix) making sure different random seed is used for each recycle, is important for dropouts.
  • moving random seed generation from modules_multimer.py to model.py
  • raw pAE features (asym_id, logits, breaks) are now returned

2.3.1

03 Feb 15:27
15eb3e0
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Merge pull request #3 from sokrypton/main

v2.3.1

2.1.14

21 Jun 17:07
829d7f3
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fix ensemble

2.1.12

17 Jun 06:29
433dbe0
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Fix jax NaN issue for version 3.8

2.1.11

16 Jun 10:01
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Update AlphFold to release 2.2.2

2.1.10

15 Jun 07:21
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Improve compile speed by ~5 times