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andrewjc/PyTorch-AdamL

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PyTorch implementation of the optimizer described in "AdamL: A fast adaptive gradient method incorporating loss function"

active 2024-01-10 → 2024-05-21 (UTC)

Complete coverage26,437 / 26,437 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-20 (UTC)
Events
23
Pushes
9
Pull requests
1
Issues
2
Stars
5
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 133 days from 2024-01-10 to 2024-05-21. Pushes: 9 total, peak 8 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 2 total, peak 2 in a day. Comments: 1 total, peak 1 in a day. Stars: 5 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
andrewjc9900
terrainer3001
Y-T-G1010

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1terrainer2024-01-24 11:59
    Add __init__.py to fix import
  • Issue#2terrainer2024-01-24 08:43
    Implementing with GANs, loss argument
  • Issue#2terrainer2024-01-24 02:29
    Implementing with GANs, loss argument
  • Pull request#1Y-T-G2024-01-11 06:42
  • Releaseandrewjc2024-01-10 10:32
    v1.0

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.