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OpenMOSS/EasyWAM

A unified framework for training, fine-tuning, and evaluating World Action Models

Visit GitHub
Python
403
16
2 contributors
Custom license
website
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How fast OpenMOSS/EasyWAM 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 19, 2026

Stars +340 in 49 days

02040
32

Forks +16 in 49 days

0246
5

Merged PRs 1 in 49 days

01
1

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 13
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+0+00
Wed, Sep 2, 2026+0+51
Thu, Sep 3, 2026+1+20
Fri, Sep 4, 2026+21+10
Sat, Sep 5, 2026+32+00
Sun, Sep 6, 2026+10+00
Mon, Sep 7, 2026+17+00
Tue, Sep 8, 2026+19+00
Wed, Sep 9, 2026+23+00
Thu, Sep 10, 2026+14+00
Fri, Sep 11, 2026+20+00
Sat, Sep 12, 2026+18+00
Sun, Sep 13, 2026+16+00
Mon, Sep 14, 2026+22+00
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+1+00
Fri, Sep 18, 2026+10+10
Sat, Sep 19, 2026+5+00
Sun, Sep 20, 2026+4+10
Mon, Sep 21, 2026+5+20
Tue, Sep 22, 2026+3+00
Wed, Sep 23, 2026+11+00
Thu, Sep 24, 2026+10+00
Fri, Sep 25, 2026+10+00
Sat, Sep 26, 2026+8+10
Sun, Sep 27, 2026+15+00
Mon, Sep 28, 2026+14+00
Tue, Sep 29, 2026+4+00
Wed, Sep 30, 2026+6+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+1+00
Sat, Oct 3, 2026+1+00
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+3+00
Tue, Oct 6, 2026+3+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+1+10
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+1+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+6+20
Tue, Oct 13, 2026+1+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+1+00
Sun, Oct 18, 2026+2+00
Mon, Oct 19, 2026+0+00
Total+340+161
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 151 post
    • 世界动作模型真正难的,常不是搭出一个网络,而是让数据、分布式训练、断点、评测和新架构迭代不互相拖累。EasyWAM把这些收进统一接口: 模型组件可替换,训练与评测配方由 Hydra 配置驱动;LoRA、ZeRO、FlashAttention 和动态批量评测各司其职。对需要横向比较 Unified、MoT 等架构的人,这种工程边界很值钱。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

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