ZhiningLiu1998/awesome-imbalanced-learning resource

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1526 stars · 231 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity active

machine-learning developer-tools machine-learning artificial-intelligence tutorials awesome-lists python cross-platform awesome-list imbalanced-learning class-imbalance long-tail-learning curated-resources fairness

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For agents

markdown · JSON · MCP: product_card(name="ZhiningLiu1998/awesome-imbalanced-learning")