jantic/DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!) observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
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: 2863
- days_rel: n/a
- days_push: 683
- n_releases_24m: 0
Adoption not part of the score
18481 stars · 2643 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DeOldify is a deep learning project for colorizing and restoring old black-and-white images and videos, with artistic and stable model variants. The repository was archived in October 2024 and is no longer maintained.
Use cases
- colorize old black and white photos
- restore and colorize old family photographs
- colorize historical video footage
- add color to vintage images with deep learning
- colorize old images in a browser or notebook
When to choose
- you need a proven, well-known image colorization model with pretrained weights
- you want to colorize old photos or videos via Colab or hosted services
- you're doing research or experimentation with colorization models
When to avoid
- you need an actively maintained project with bug fixes and support
- you want a modern, up-to-date deep learning codebase
- you need production support or new features
Facets
application · maturity abandoned
image-processing deep-learning machine-learning image-processing deep-learning machine-learning media python cross-platform colorization photo-restoration video-colorization gan archived gpu
1 source
- readme: https://github.com/jantic/DeOldify · fetched 2026-08-28 · 7c521d4d5221
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jantic/DeOldify | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem