# miao-org/awesome-supermimic

> A curated list of implementations, extensions and demos of SuperMimic, a method for humanoid whole-body control via a differentiable world model. It serves as an entry point for reproducing and adapting the method.

- Magnitude: 4.9 out of 10 — Early signal
- Stars: 255 total · +23 stars measured 2026-10-28, 00:02–07:04 UTC, ≈ 62 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · License: CC0-1.0 · Created: 2026-10-26 · Last push: 2026-10-27
- GitHub: https://github.com/miao-org/awesome-supermimic · Page: https://gitnova.dev/en/r/miao-org/awesome-supermimic

## Useful for

- Reproduce SuperMimic policy training for the G1 humanoid in Isaac Lab or mjlab
- Compare world-model implementations and ablations across frameworks and tasks
- Find a stack for porting the policy to another humanoid robot or deployment

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 00:02–07:04: 232 → 255 stars (+23). This is the change over that interval.
- Estimated end-of-day forecast: about +62 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 255 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #66.
- Recent forks include notable developers: @HonglinChu (361 followers).

## 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: 8
- Issues and pull requests: 4
- Watchers: 0
- Average over the last week: 86 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 6

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-26 … 2026-10-28: 128, 68, 23

## Magnitude by day, last 3 days

10-26 2.4, 10-27 5.6, 10-28 4.9

## Spotted in now

- Top new repositories this week: #66

## More in this category

1. **amosblomqvist/learnharness** — 7.5 · Breakout · Learning & lists · TypeScript · +212 stars measured 2026-10-28, 00:01–09:12 UTC, ≈ 614 by evening
   A desktop app that uses AI agents to plan and teach lessons from your current understanding to a goal, tracking progress in a persistent knowledge graph.
   Full card: https://gitnova.dev/en/r/amosblomqvist/learnharness.md
2. **designfuchen/word-atlas** — 7.1 · Peaking · Learning & lists · TypeScript · +403 stars measured 2026-10-28, 00:01–09:12 UTC, ≈ 951 by evening
   A free, open-source PWA for memorizing 7,298 IELTS words, each with an original illustration, UK/US audio and example sentences, using FSRS spaced repetition with no login. The dataset is CC BY 4.0.
   Full card: https://gitnova.dev/en/r/designfuchen/word-atlas.md
3. **blakeandersonw/ai-app-playbook** — 6.5 · Early signal · Learning & lists · TypeScript · +111 stars measured 2026-10-28, 00:02–09:13 UTC, ≈ 276 by evening
   A playbook for building and monetizing AI-powered mobile and web apps, covering niche selection, stack choices, costs, and distribution, with an AGENTS.md file for coding agents.
   Full card: https://gitnova.dev/en/r/blakeandersonw/ai-app-playbook.md
4. **agharsallah/esp-labs-web** — 5.0 · Early signal · Learning & lists · TypeScript · +39 stars measured 2026-10-28, 00:02–09:13 UTC, ≈ 108 by evening
   An interactive web guide to the ESP32-S3: 32 hands-on labs with in-browser simulators, a live pinout, a 3D board and a line-by-line reader for the esp-labs firmware. Available in 8 languages, including Arabic (RTL).
   Full card: https://gitnova.dev/en/r/agharsallah/esp-labs-web.md
5. **xiaoyang111222/cn-math-taxonomy** — 4.9 · Peaking · Learning & lists · Python · +368 stars measured 2026-10-28, 00:03–09:13 UTC, ≈ 767 by evening
   Knowledge graph for Chinese middle-school math (grades 7–9): 315 topic nodes with 616 prerequisite edges, mapping to the 2022 curriculum standards, plus a 1407-question diagnostic bank. An AI-generated draft not yet reviewed by teachers.
   Full card: https://gitnova.dev/en/r/xiaoyang111222/cn-math-taxonomy.md

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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 2026-10-28 09:25 UTC, updated every 30 minutes.