# sebastianstarke/AI4Animation

Bringing Characters to Life with Computer Brains in Unity

Repository: https://github.com/sebastianstarke/AI4Animation
Canonical: https://ross.abutalabs.com/products/ai4animation
Language: C++
License Family: other
Last push: 2026-04-17T17:03:39+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 77, release rhythm 35, longevity 100
- inputs: {"age_days": 3325, "days_push": 138, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8846, forks 1141 (observed 2026-08-28T04:10:26.017991+00:00)

## What it is
AI4Animation is a deep learning framework for data-driven character animation and control, built around Unity with a Python remake (AI4AnimationPy) that removes the Unity dependency. It covers the full pipeline from motion capture data processing and neural network training to runtime character control in game engines.

## Use cases
- train neural networks for character locomotion animation
- animate biped and quadruped characters with deep learning
- import and process motion capture data like BVH and FBX
- build interactive character controllers for games in Unity
- research data-driven character animation and motion synthesis
- create embodied avatar motion for AR and VR
- solve inverse kinematics in real time for characters

## When to choose
- you need neural network-based character animation in Unity or Python
- you are researching motion synthesis, locomotion, or character control
- you want a full pipeline from mocap data to runtime animation
- you need interactive character controllers with learned motion models

## When to avoid
- you need simple keyframe animation without machine learning
- you want a production-ready animation middleware with commercial support
- your project does not involve character animation or motion data

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, simulation, animation, llm-training
- domain: machine-learning, deep-learning, simulation, graphics
- platform: game-engine, python, cross-platform
- tags: character-animation, motion-capture, unity, locomotion, inverse-kinematics, neural-networks, mocap, research, game-development, desktop

## Member repositories
- sebastianstarke/AI4Animation (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:26.017991+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:24:48.069357+00:00, confidence not recorded.
  - readme: https://github.com/sebastianstarke/AI4Animation (fetched 2026-08-28T04:10:26.017991+00:00, sha 39e875b9b726)
- Data as of 2026-08-30T08:39:29.467469+00:00.