# ml4a/ml4a

A python library and collection of notebooks for making art with machine learning.

Repository: https://github.com/ml4a/ml4a
Canonical: https://ross.abutalabs.com/products/ml4a
Homepage: https://ml4a.net
Language: Python
License: MIT
License Family: permissive
Last push: 2025-01-06T22:20:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3745, "days_push": 604, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1602, forks 339 (observed 2026-08-28T04:05:09.741050+00:00)

## What it is
ml4a is a Python library and collection of Jupyter notebooks for making art with machine learning. It wraps popular deep learning models like StyleGAN2, SPADE, neural style transfer, and DeepDream behind a simplified API, with educational examples for beginners.

## Use cases
- generate art images with stylegan
- apply neural style transfer to photos
- create deepdream visuals
- learn deep learning for artists
- convert photos to cartoons or sketches
- lip-sync videos from audio
- segment images semantically
- generate speech from text

## When to choose
- you want a simplified Python API over popular generative art models
- you are learning machine learning through creative projects
- you want runnable Colab/Binder notebooks for art techniques

## When to avoid
- you need production-grade or high-performance inference pipelines
- you need fine-grained control over the underlying model implementations
- you need a maintained web service or GUI application

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, image-processing, audio-processing, video-processing, nlp, tts, computer-vision
- domain: artificial-intelligence, machine-learning, deep-learning, image-processing, graphics, education, tutorials
- platform: python, cross-platform
- tags: generative-art, stylegan, neural-style-transfer, deepdream, jupyter-notebooks, creative-coding, gan

## Member repositories
- ml4a/ml4a (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:09.741050+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 2026-08-30T03:52:37.779586+00:00, confidence not recorded.
  - readme: https://github.com/ml4a/ml4a (fetched 2026-08-28T04:05:09.741050+00:00, sha 65381502963e)
  - homepage: https://ml4a.net (fetched 2026-08-29T11:24:17.657512+00:00, sha 963f1bdda8be)
  - registry_pypi: https://pypi.org/pypi/ml4a/json (fetched 2026-08-29T11:24:17.660879+00:00, sha 82c4485a9b49)
- Data as of 2026-08-30T08:39:29.467469+00:00.