apromisedland/Tame_3D
Tame3D research framework: evidence-grounded multi-agent 3D reasoning with scene-level conformal uncertainty alignment
About the project
Python research framework for multi-agent 3D situated reasoning: a manager plans typed geometric programs, egocentric and global experts read local views and geometry, a critic checks evidence, and conformal calibration bounds the probability of a wrong accepted answer. Ships an offline demo and a foundation-model interface, but no measured SQA3D results.
Useful for
- Run the offline tame3d demo to produce trajectories, metrics and rendered scene PNGs
- Prepare scene-disjoint datasets from SQA3D annotations and ScanNet scenes with prepare-sqa3d
- Verify the five-seed synthetic study reproduction via reproduce-synthetic
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 21 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 4 days old and already has 83 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #144.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 83
- Today
- 0 · ≈ 21 by evening
- Forks
- 0
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Python
- License
- Apache-2.0
- Created
- September 28, 2026
- Last push
- September 28, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 2, 2026Top new repositories this week: #144
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