# SupeRuier/awesome-active-learning

Everything you need about Active Learning (AL).

Repository: https://github.com/SupeRuier/awesome-active-learning
Canonical: https://ross.abutalabs.com/products/awesome-active-learning
License Family: other
Topics: active-learning, machine-learning, deep-learning, awesome-list, awesome, human-in-the-loop, crowdsourcing
Last push: 2026-03-16T06:48:56+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 100
- inputs: {"age_days": 2441, "days_push": 170, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1000, forks 87 (observed 2026-09-03T02:15:08.257418+00:00)

## What it is
A curated awesome-list and structured knowledge base covering Active Learning research, including papers, surveys, tutorials, theory, code libraries, and real-world applications. It serves as a reference hub for researchers and practitioners in machine learning.

## Use cases
- find active learning research papers
- learn about human-in-the-loop machine learning
- find active learning code libraries
- survey active learning methods for a literature review
- find active learning tutorials and surveys
- discover researchers working on active learning

## When to choose
- you need a comprehensive, structured overview of active learning research
- you are starting research on active learning or human-in-the-loop ML
- you want links to papers, code, and scholars in one place

## When to avoid
- you need runnable active learning software rather than a reference list
- you need production tooling for data labeling pipelines

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, documentation
- domain: machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, active-learning, human-in-the-loop, research-papers, curated-list

## Member repositories
- SupeRuier/awesome-active-learning (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:08.257418+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 2026-08-30T07:16:04.754323+00:00, confidence not recorded.
  - readme: https://github.com/SupeRuier/awesome-active-learning (fetched 2026-09-03T02:15:08.257418+00:00, sha 18d0f31a7c1f)
- Data as of 2026-08-30T08:39:29.467469+00:00.