# leggedrobotics/ame2_minimal > 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. - Magnitude: 2.2 out of 10 — Early signal - Stars: 72 total · +0 stars measured 2026-10-09, 00:05–01:33 UTC, ≈ 15 by evening - Star trust: star growth looks organic - Category: Hardware, IoT & robotics · Language: Python · License: GPL-3.0 · Created: 2026-10-05 · Last push: 2026-10-06 - GitHub: https://github.com/leggedrobotics/ame2_minimal · Page: https://gitnova.dev/en/r/leggedrobotics/ame2_minimal ## 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 ## Why it’s here - Star-counter measurements on 2026-10-09 (UTC), 00:05–01:33: 72 → 72 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +15 stars, using observed gains and the previous day. - 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. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2 - Issues and pull requests: 2 - Watchers: 1 - Average over the last week: 17 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-04 … 2026-10-09: 0, 0, 29, 26, 17, 0 ## More in this category 1. **nullmoth/nvidia-macos-driver** — 7.4 · Early signal · Hardware, IoT & robotics · Rust · +51 stars measured 2026-10-09, 00:05–01:30 UTC, ≈ 579 by evening A Metal driver for NVIDIA GeForce RTX cards on Intel Macs and OpenCore systems running macOS 15 Sequoia, letting the GPU drive the desktop, Metal, OpenCL and Core ML. Free and open source. Full card: https://gitnova.dev/en/r/nullmoth/nvidia-macos-driver.md 2. **KingKongRobotics/jumper** — 6.5 · Breakout · Hardware, IoT & robotics · Python · +15 stars measured 2026-10-09, 00:04–01:30 UTC, ≈ 324 by evening Open-source 22-DoF crab robot Jumper: this repository covers motion training, replay and policy export, plus links to tools for designing appearances and scenes. Full card: https://gitnova.dev/en/r/KingKongRobotics/jumper.md 3. **FeSens/openTPU** — 5.1 · Early signal · Hardware, IoT & robotics · Verilog · +2 stars measured 2026-10-09, 00:05–01:30 UTC, ≈ 52 by evening An open-source AI accelerator on FPGA: RTL, ISA, simulator, compiler and profiler in one repo, running Qwen3, LFM2.5 and other models on a Kintex-7 card. Full card: https://gitnova.dev/en/r/FeSens/openTPU.md 4. **facebookincubator/muse-gadget-sdk** — 4.9 · Cooling · Hardware, IoT & robotics · C · +7 stars measured 2026-10-09, 00:05–01:30 UTC, ≈ 96 by evening SDK and firmware for building your own Muse gadgets on ESP32 or Linux: displays, buttons, sensors and audio that pair with the Muse app on iOS and Android. Full card: https://gitnova.dev/en/r/facebookincubator/muse-gadget-sdk.md 5. **isod89/sloop-fm1** — 3.3 · Cooling · Hardware, IoT & robotics · C · +0 stars measured 2026-10-09, 00:06–01:31 UTC, ≈ 28 by evening A firmware for the M-VAVE FM-1 that turns it into a four-track groovebox: three synths and a drum machine with 16 sounds, nine synthesis engines, user samples and a live song mode. A GPL-3.0 fork of Felucca. Full card: https://gitnova.dev/en/r/isod89/sloop-fm1.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-09 01:41 UTC, updated every 30 minutes.