# ml4a/ml4a-ofx

A collection of openFrameworks apps for working with machine learning

Repository: https://github.com/ml4a/ml4a-ofx
Canonical: https://ross.abutalabs.com/products/ml4a-ofx
Homepage: http://ml4a.github.io
Language: C++
License Family: other
Last push: 2020-10-27T19:14:32+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3703, "days_push": 2136, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1223, forks 273 (observed 2026-08-28T04:04:02.611345+00:00)

## What it is
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
- artifact type: application
- maturity: maintenance
- function: machine-learning, image-processing, audio-processing, computer-vision, data-visualization, gui
- domain: machine-learning, graphics, artificial-intelligence, media, education
- platform: cpp, cross-platform
- tags: openframeworks, creative-coding, real-time, osc, tsne, wekinator, generative-art, interactive-installations, desktop

## Member repositories
- ml4a/ml4a-ofx (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.611345+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 2026-08-30T06:15:33.818439+00:00, confidence not recorded.
  - readme: https://github.com/ml4a/ml4a-ofx (fetched 2026-08-28T04:04:02.611345+00:00, sha b955a8d39af3)
  - homepage: http://ml4a.github.io (fetched 2026-08-29T12:23:45.600495+00:00, sha b8269e7ceed4)
- Data as of 2026-08-30T08:39:29.467469+00:00.