NandhaKishorM/vegaml

Typed decisions from a frozen language model and a small physics engine: calibrated probabilities, conformal sets, 73k context, images.

Python

182

2 contributors

Apache License 2.0

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Momentum

How fast NandhaKishorM/vegaml is gaining stars, and where it lands on Trendshift and GitHub Trending

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

Oct 9 – Oct 12, 2026

Stars +179 in 4 days

101

Forks +21 in 4 days

Merged PRs 11 in 4 days

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

Not in the Trendshift top 25 in this period

Oct 9Oct 10Oct 11Oct 12

Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day	Stars gained	Forks gained	Merged PRs
Fri, Oct 9, 2026	+0	+0	0
Sat, Oct 10, 2026	+101	+7	0
Sun, Oct 11, 2026	+61	+11	11
Mon, Oct 12, 2026	+17	+3	0
Total	+179	+21	11

Recent discussions about this repository across the web

Oct 121 post
- 💻 NandhaKishorM/vegaml Answers fixed-type questions from text or images in one pass and returns usable values plus calibrated probs, prediction sets, and abstain flags. Key points: • Supports…
  Read full on X, posted by @papersdatacode
  @papersdatacode · x.com
Oct 111 post
- 用冻结的语言模型加一个小型物理引擎输出类型固定的决策结果，每个答案带校准概率、共形预测集和弃权标志，全流程不生成任何文本。
  Read full on X, posted by @QingQ77
  @QingQ77 · x.com
Oct 102 posts
- 又一个不写自然语言的。 vegaml 的 laya，800M 参数，输出带类型的决策：概率校准过，还给置信集， 73K 上下文，还能吃图。思路和今早微软那个 Decision-1 一个方向，体量小得多。
  Read full on X, posted by @BlockInsight214
  @BlockInsight214 · x.com
- Created laya : Now Introducing a new 800 Million Param physics-based typed decision model with 73k context and image support
  Read full on Reddit
  r/LocalLLaMA