# bilibili/ailab

Repository: https://github.com/bilibili/ailab
Canonical: https://ross.abutalabs.com/products/bilibili-ailab
Language: Python
License Family: other
Last push: 2023-08-02T15:34:07+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1944, "days_push": 1127, "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 5881, forks 554 (observed 2026-08-28T04:09:31.909320+00:00)

## What it is
Bilibili's AI lab repository, best known for Real-CUGAN, a deep learning model for anime image super-resolution (upscaling). It provides pretrained models and tools to enhance low-resolution anime images and video frames.

## Use cases
- upscale anime images without losing detail
- enhance low-resolution anime screenshots
- super-resolution for anime video frames
- denoise and restore old anime footage
- run anime upscaling models locally with python

## When to choose
- you need high-quality anime-specific image upscaling
- you want pretrained super-resolution models tuned for anime art styles
- you are processing anime video frames in a python pipeline

## When to avoid
- you need upscaling for photorealistic images rather than anime
- you need a maintained project with active releases and a clear license
- you want a GUI-based one-click upscaler

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, image-processing, deep-learning
- domain: image-processing, machine-learning
- platform: python, cross-platform
- tags: super-resolution, anime-upscaling, real-cugan, computer-vision, anime, gpu

## Member repositories
- bilibili/ailab (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:31.909320+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 2026-08-29T17:51:34.034675+00:00, confidence not recorded.
  - readme: https://github.com/bilibili/ailab (fetched 2026-08-28T04:09:31.909320+00:00, sha 45fe6ddca3b5)
- Data as of 2026-08-30T08:39:29.467469+00:00.