# YifanZhang07/Awesome-LongTailed-Learning

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

Repository: https://github.com/YifanZhang07/Awesome-LongTailed-Learning
Canonical: https://ross.abutalabs.com/products/awesome-longtailed-learning
Language: Python
License Family: other
Last push: 2025-11-25T12:51:43+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 54, release rhythm 35, longevity 100
- inputs: {"age_days": 1800, "days_push": 281, "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 1027, forks 127 (observed 2026-08-28T04:03:16.897436+00:00)

## What it is
A curated awesome list and accompanying codebase for deep long-tailed learning, based on a TPAMI 2023 survey paper. It catalogs top-tier conference papers organized by taxonomy categories like re-sampling, logit adjustment, and data augmentation.

## Use cases
- find papers on long-tailed recognition
- learn about class imbalance in deep learning
- get a codebase for long-tailed learning experiments
- survey deep long-tailed learning methods
- find state-of-the-art imbalanced classification techniques
- research class re-balancing methods

## When to choose
- you need a curated, regularly updated collection of long-tailed learning papers and code
- you are starting research on class-imbalanced visual recognition
- you want a taxonomy to organize long-tailed learning methods

## When to avoid
- you need a production-ready training framework rather than a paper list
- your problem is not related to class imbalance or long-tailed distributions

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, deep-learning, computer-vision, tutorials
- platform: python, cross-platform
- tags: awesome-list, long-tailed-learning, class-imbalance, survey, paper-collection, research

## Member repositories
- YifanZhang07/Awesome-LongTailed-Learning (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.897436+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 2026-08-30T07:07:51.188466+00:00, confidence not recorded.
  - readme: https://github.com/YifanZhang07/Awesome-LongTailed-Learning (fetched 2026-08-28T04:03:16.897436+00:00, sha ca90d9dc2d5e)
- Data as of 2026-08-30T08:39:29.467469+00:00.
