ml4a/ml4a-ofx
A collection of openFrameworks apps for working with machine learning observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3703
- days_rel: n/a
- days_push: 2136
- n_releases_24m: 0
Adoption not part of the score
1223 stars · 273 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of openFrameworks applications in C++ for real-time interactive machine learning, aimed at artists and creative coders. It includes apps for feature extraction, t-SNE visualization, face tracking, and OSC modules that pair well with tools like Wekinator.
Use cases
- build interactive machine learning art installations
- visualize image datasets with t-SNE in real time
- send OSC messages from ML models to Wekinator
- run real-time face tracking and feature extraction in openFrameworks
- explore latent spaces of images with pretrained models like VGG
- create audio-visual apps driven by machine learning
When to choose
- you want real-time interactive ML apps built on openFrameworks
- you are an artist or creative coder exploring machine learning
- you need OSC integration with tools like Wekinator
- you want C++ performance for live installations
When to avoid
- you need a maintained library with active support and a license
- you prefer Python or web-based ML workflows
- you need production deployment rather than experimentation
- you want modern deep learning frameworks without compiling C++ addons
Facets
application · maturity maintenance
machine-learning image-processing audio-processing computer-vision data-visualization gui machine-learning graphics artificial-intelligence media education cpp cross-platform openframeworks creative-coding real-time osc tsne wekinator generative-art interactive-installations desktop
2 sources
- readme: https://github.com/ml4a/ml4a-ofx · fetched 2026-08-28 · b955a8d39af3
- homepage: http://ml4a.github.io · fetched 2026-08-29 · b8269e7ceed4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ml4a/ml4a-ofx | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem