# ZhiningLiu1998/awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Repository: https://github.com/ZhiningLiu1998/awesome-imbalanced-learning
Canonical: https://ross.abutalabs.com/products/awesome-imbalanced-learning
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, imbalanced-learning, imbalanced-classification, class-imbalance, machine-learning, ensemble-learning, imbalanced-data, deep-learning, imbalanced-classes, skewed-data, fairness-ml, fair-ml
Last push: 2026-06-09T23:44:43+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 2372, "days_push": 85, "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 1526, forks 231 (observed 2026-08-28T04:04:58.429237+00:00)

## What it is
A curated awesome-list of papers, code, frameworks, and libraries for class-imbalanced (long-tail) machine learning. It organizes resources by programming language and research field, with English and Chinese versions.

## Use cases
- find papers on class-imbalanced learning
- discover libraries for imbalanced classification
- learn about long-tail recognition methods
- find tools for skewed data in fraud detection
- research fairness in machine learning with imbalanced data
- compare imbalanced learning frameworks by language

## When to choose
- you need a starting point to survey imbalanced/long-tail learning research
- you want curated links to papers, code, and libraries in one place

## When to avoid
- you need an actual working library rather than a list of resources
- you need tutorials or runnable examples instead of paper and tool references

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, developer-tools
- domain: machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: python, cross-platform
- tags: awesome-list, imbalanced-learning, class-imbalance, long-tail-learning, curated-resources, fairness

## Member repositories
- ZhiningLiu1998/awesome-imbalanced-learning (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.429237+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 2026-08-30T04:31:36.026412+00:00, confidence not recorded.
  - readme: https://github.com/ZhiningLiu1998/awesome-imbalanced-learning (fetched 2026-08-28T04:04:58.429237+00:00, sha 165ea8722cc6)
- Data as of 2026-08-30T08:39:29.467469+00:00.