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Belilovsky-Lab/pylo

An efficient implementation of learned optimizers in PyTorch

Visit GitHub
Python
63
6
4 contributors
BSD 3-Clause "New" or "Revised" License
website
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Momentum

How fast Belilovsky-Lab/pylo is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 20 – Oct 24, 2026

Stars +1 in 35 days

01
1

Forks +0 in 35 days

01

Merged PRs 0 in 35 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 20Sep 25Sep 30Oct 5Oct 10Oct 15Oct 20
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sun, Sep 20, 2026+1+00
Mon, Sep 21, 2026+0+00
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Total+1+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 202 posts
    • I’ll be at #MLSys2026 this week to present “PyLO: Towards Accessible Learned Optimizers in PyTorch”! Come listen to @janson002’s presentation today from 3:45PM – 4:00PM in room 2 or join us at poster…

      Read full on X, posted by @benjamintherien

      @benjamintherien · x.com

    • Presenting today at @MLSysConf 2026: PyLO🚀 Learned optimizers (like VeLO) have been stuck in JAX. PyLO brings them to PyTorch via the standard torch.optim interface, with CUDA kernels and HF Hub…

      Read full on X, posted by @janson002

      @janson002 · x.com

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