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AnswerDotAI/bert24

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active 2024-10-18 → 2024-12-08 (UTC)

Partial coverage13,459 / 16,041 hourly files (84%) · 2 absent upstream · 2,576 failed, retryable2024-10-12 → 2026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
76
Pushes
34
Pull requests
11
Issues
12
Stars
3
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 52 days from 2024-10-18 to 2024-12-08. Pushes: 34 total, peak 4 in a day. Pull requests: 11 total, peak 5 in a day. Issues: 12 total, peak 12 in a day. Comments: 2 total, peak 1 in a day. Stars: 3 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
warner-benjamin219101
algal191900
bclavie13100
ohmeow5211
orionw1100
griff46921100
rbiswasfc1100

Recent activity

Latest issues, pull requests and releases

  • Issue#43bclavie2024-11-26 00:26
    EVAL: Long-context evals
  • Issue#44bclavie2024-11-26 00:26
    DATA/Training: Rho-like token selection
  • Issue#45bclavie2024-11-26 00:26
    DATA: Synthetic Augmentations (phi-like)
  • Issue#22bclavie2024-11-26 00:26
    Data Quality Evaluation Suite
  • Issue#37bclavie2024-11-26 00:26
    Migrate ColBERT to conda environment to leverage faiss-gpu
  • Issue#42bclavie2024-11-26 00:26
    EVAL: Legal Entailment
  • Issue#12bclavie2024-11-26 00:26
    Baseline: EncT5
  • Issue#16bclavie2024-11-26 00:26
    Arch: Figure out the most inference-efficient model architecture for the Large model size.
  • Issue#17bclavie2024-11-26 00:26
    Arch: Figure out the most inference-efficient model architecture for the XL model size.
  • Issue#19bclavie2024-11-26 00:26
    Broad Training: Design training loop
  • Issue#6bclavie2024-11-26 00:26
    Arch: Figure out the most inference-efficient model architecture for the Base model size.
  • Issue#10bclavie2024-11-26 00:26
    DeBERTa: Add RTD training objective
  • Pull request#129warner-benjamin2024-11-17 06:14
  • Pull request#129warner-benjamin2024-11-17 06:14
  • Pull request#128warner-benjamin2024-10-24 03:12
  • Pull request#128warner-benjamin2024-10-24 03:12
  • Pull request#127warner-benjamin2024-10-19 20:23
  • Pull request#127warner-benjamin2024-10-19 20:22
  • Pull request#126warner-benjamin2024-10-19 20:06
  • Pull request#126warner-benjamin2024-10-19 20:06
  • Pull request#117warner-benjamin2024-10-19 19:26
  • Pull request#120warner-benjamin2024-10-18 23:39
  • Pull request#125ohmeow2024-10-18 19:32

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.