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THUNLP-MT/PepGLAD

Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)

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Python
134
12
1 contributors
MIT License
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Momentum

How fast THUNLP-MT/PepGLAD 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 1 – Oct 21, 2026

Stars +5 in 51 days

01
1

Forks +0 in 51 days

01

Merged PRs 0 in 51 days

01

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

Not in the Trendshift top 25 in this period

Sep 1Sep 8Sep 15Sep 22Sep 29Oct 6Oct 13Oct 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
Tue, Sep 1, 2026+1+00
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Mon, Sep 14, 2026+1+00
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Total+5+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 161 post
    • Designing peptides against a protein target usually means juggling sequence, 3D structure, pockets, datasets, and evaluation scripts. PepGLAD is a research codebase for full-atom peptide design with…

      Read full on X, posted by @DanKornas

      @DanKornas · x.com

  2. 12 days earlier
  3. Jun 42 posts
    • Designs full-atom peptides using geometric latent diffusion #CyberSecurity #InfoSec #e0xsecops #TechLeadershi

      Read full on X, posted by @hemran_7282

      @hemran_7282 · x.com

    • Designs full-atom peptides using geometric latent diffusion

      Read full on X, posted by @tom_doerr

      @tom_doerr · x.com

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