leggedrobotics/ame2_minimal
- Total stars
- 72
- Today · UTC
- —No data
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About the project
Official minimal reimplementation of AME-2, a method for agile legged locomotion via attention-based neural map encoding, built as an IsaacLab extension. Aimed at robotics researchers reproducing the paper's results.
Useful for
- Train a G1 teacher policy in simulation via the Docker container with IsaacLab
- Run multi-GPU training with torchrun across 4096 parallel environments
- Reproduce the paper's humanoid locomotion training experiments
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 9, 2026, 00:17 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
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
- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.
- The repository is 4 days old and already has 72 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #199.
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 72
- Today
- Not enough measurements today
- Forks
- 2
- Issues and pull requests
- 2
- Watchers
- 1
- Language
- Python
- License
- GPL-3.0
- Created
- October 5, 2026
- Last push
- October 6, 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 9, 2026Top new repositories this week: #199
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/leggedrobotics/ame2_minimal)