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roboterax/video-prediction-policy-2

Hardware, IoT & roboticsPython
Total stars
101
Today · UTC
+20since 09:19 UTC
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Official implementation of Video Prediction Policy 2: Predict Better, Act Better

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About the project

Official implementation of Video Prediction Policy 2, a world-action model that couples event-level video pretraining with a single-step visual planner and an action module for robot manipulation.

Useful for
  • Reproduce VPP2 results on the RoboDojo closed-loop evaluation benchmark
  • Fine-tune the LIBERO policy checkpoint and test generalization on LIBERO-OOD/PRO
  • Train a video-action policy from downloadable Hugging Face or ModelScope checkpoints

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

4.1 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 9, 2026, 12:38 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

04080October 4, 2026October 9, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-09 (UTC), 09:19–12:23: 81 → 101 stars (+20). This is the change over that interval.
  • Estimated end-of-day forecast: about +44 stars, using observed gains and the previous day.
  • The repository is 1 day old and already has 101 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
  • Top new repositories this week: #167.

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What they do, why they are gaining interest, and what to check before using them.

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Numbers

Total stars
101
Today
+20 stars measured 2026-10-09, 09:19–12:23 UTC, ≈ 44 by evening
Forks
2
Issues and pull requests
1
Watchers
1
Language
Python
Created
October 8, 2026
Last push
October 9, 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.

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GitNova: 4.1 
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