quanreview
quanreview is Blind pairwise review of model-extracted quantity events against ground truth. Human-in-the-loop annotation correction with neutral positional labelling. - mattemusacchio/quanreview. It is ranked #9953 on the AI Radar, in AI infra & evals, first seen 35 days ago and shared in 1 post (7 views).
GitHub - mattemusacchio/quanreview: Blind pairwise review of model-extracted quantity events against ground truth. Human-in-the-loop annotation correction with neutral positional labelling. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} mattemusacchio / quanreview Public Notifications You must be signed in to change…
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quanreview in numbers
- Rank on the AI Radar: #9953 of 10425
- Shared in 1 post by 1 account: @HEI
- 7 views on those posts
- First seen 35 days ago, last shared 35 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI infra & evals
FAQ
What is quanreview?
Blind pairwise review of model-extracted quantity events against ground truth. Human-in-the-loop annotation correction with neutral positional labelling. - mattemusacchio/quanreview It was first shared on X 35 days ago and is ranked #9953 on the AI Radar.
Is quanreview free?
It is open source.
Who shared quanreview?
1 account on X, including @HEI, in 1 post totalling 7 views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.3k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 17:44 UTC. Full method.