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imbalanced-data

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ufoym / imbalanced-dataset-sampler

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A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

pytorch image-classification imbalanced-data data-sampling

Updated Jul 6, 2026
Python

ZhiningLiu1998 / awesome-imbalanced-learning

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😎 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

machine-learning awesome deep-learning ensemble-learning awesome-list class-imbalance imbalanced-data imbalanced-learning skewed-data fairness-ml imbalanced-classes imbalanced-classification fair-ml

Updated Jun 9, 2026

YyzHarry / imbalanced-regression

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[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

natural-language-processing computer-vision regression healthcare imbalanced-data icml imbalanced-learning long-tail imbalance imbalanced-classification imbalanced-regression icml-2021

Updated Mar 22, 2022
Python

YyzHarry / imbalanced-semi-self

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[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

semi-supervised-learning class-imbalance imbalanced-data imbalanced-learning long-tail unlabeled-data self-supervised-learning neurips imbalanced-classification neurips-2020 long-tailed-recognition

Updated Apr 3, 2021
Python

analyticalmindsltd / smote_variants

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A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

imbalanced-data smote oversampling imbalanced-learning

Updated Jan 3, 2024
Jupyter Notebook

ZhiningLiu1998 / imbalanced-ensemble

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[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

python data-science machine-learning data-mining scikit-learn sklearn python3 classification ensemble ensemble-learning class-imbalance ensemble-model imbalanced-data imbalanced-learning long-tail multi-class-classification imbalanced-classification ensemble-imbalanced-learning

Updated Mar 5, 2026
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nickkunz / smogn

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Synthetic Minority Over-Sampling Technique for Regression

regression imbalanced-data smote synthetic-data over-sampling

Updated Feb 7, 2024
Python

30lm32 / ml-projects

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ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Updated Dec 15, 2020

ZhiningLiu1998 / self-paced-ensemble

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[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

machine-learning pypi python3 classification ensemble ensemble-learning class-imbalance ensemble-model imbalanced-data imbalanced-learning ensemble-methods imbalance-classification imbalanced-learn

Updated Feb 5, 2024
Python

JIA-Lab-research / Parametric-Contrastive-Learning

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Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

pytorch supervised-learning imagenet image-classification class-imbalance imbalanced-data imbalanced-learning tpami contrastive-learning supervised-contrastive-learning long-tailed-recognition iccv2021 parametric-contrastive-learning

Updated Jun 11, 2026
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jrzaurin / LightGBM-with-Focal-Loss

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An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

python3 lightgbm imbalanced-data focal-loss

Updated Nov 9, 2019
Python

dialnd / imbalanced-algorithms

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Python-based implementations of algorithms for learning on imbalanced data.

python data-science machine-learning imbalanced-data notre-dame

Updated Jan 29, 2022
Python

solegalli / machine-learning-imbalanced-data

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Code repository for the online course Machine Learning with Imbalanced Data

python data-science machine-learning imbalanced-data imbalanced-learning imbalanced-classification

Updated Nov 29, 2024
Jupyter Notebook

YyzHarry / multi-domain-imbalance

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[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

deep-learning multi-domain ood imbalanced-data domain-adaptation imbalanced-learning long-tail eccv imbalance domain-generalization imbalanced-classification long-tailed-recognition multi-domain-learning ood-generalization eccv-2022

Updated Jan 26, 2023
Python

ZhiningLiu1998 / mesa

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[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

ensemble class-imbalance ensemble-model imbalanced-data mesa imbalanced-learning ensemble-machine-learning imbalance-classification meta-learning-algorithms imbalanced-learn meta-sampler meta-training

Updated Jun 17, 2024
Jupyter Notebook

Albertsr / Class-Imbalance

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Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

machine-learning class-imbalance data-augmentation imbalanced-data imbalanced-learning unbalanced-data cost-sensitive-learning sampling-weighting imbalanced-classification

Updated Jul 27, 2026
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GZWQ / Awesome-Long-Tailed

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Papers about long-tailed tasks

imbalanced-data imbalanced-learning long-tail imbalance-classification long-tailed-recognition

Updated Feb 2, 2023

PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation under drift. In comparison, XGBoost experiences a 31.8% drop and LightGBM a 42.5% drop