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Protein-ligand interaction prediction model

active 2023-08-212025-11-20 (UTC)

Complete coverage26,570 / 26,570 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
91
Pushes
5
Pull requests
3
Issues
23
Stars
28
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 823 days from 2023-08-21 to 2025-11-20. Pushes: 5 total, peak 1 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 23 total, peak 4 in a day. Comments: 18 total, peak 4 in a day. Stars: 28 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#15EasternCaveMan2025-10-28 17:46
    Possible function name mismatch in ESM1b+ChemBERTa +cls training section
  • Issue#15EasternCaveMan2025-10-25 10:46
    Possible function name mismatch in ESM1b+ChemBERTa +cls training section
  • Issue comment#13code4luck2025-09-29 15:25
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue comment#13GenerateIdea2025-03-01 02:58
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue#13GenerateIdea2025-03-01 02:58
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue comment#13GenerateIdea2025-03-01 02:57
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue#13GenerateIdea2025-03-01 02:57
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue comment#13GenerateIdea2025-02-21 14:56
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue comment#13AlexanderKroll2025-02-21 09:37
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue comment#13GenerateIdea2025-02-14 19:08
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue#13GenerateIdea2025-02-14 19:01
    Chemberta model produces random output for embeddings, it depends on seed
  • Issue#10AlexanderKroll2024-11-06 13:00
    Data leak in `training_GB.py`
  • Pull request#12AlexanderKroll2024-11-06 13:00
  • Pull request#12Awallace32024-10-14 22:28
  • Issue#8AlexanderKroll2024-10-08 16:16
    code training_GB encountered an IndexError error
  • Issue comment#10AlexanderKroll2024-10-08 16:16
    Data leak in `training_GB.py`
  • Issue#11inesvanlaeys2024-10-07 08:50
    Missing argument for --pretrained_model in training.py
  • Issue#10maxall412024-10-04 05:34
    Data leak in `training_GB.py`
  • Issue comment#9AlexanderKroll2024-09-09 14:25
    The number of data points in ESP dataset
  • Issue#9AlexanderKroll2024-09-09 14:25
    The number of data points in ESP dataset
  • Issue comment#8AlexanderKroll2024-09-09 13:46
    code training_GB encountered an IndexError error
  • Issue comment#7AlexanderKroll2024-09-09 13:42
    chemBERT embedding question
  • Issue#7AlexanderKroll2024-09-09 13:42
    chemBERT embedding question
  • Issue comment#6AlexanderKroll2024-09-09 13:37
    Shuffling the data between epochs
  • Issue#6AlexanderKroll2024-09-09 13:37
    Shuffling the data between epochs

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.