A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
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Jul 6, 2026 - Python
#
imbalanced-data
Here are 1,086 public repositories matching this topic...
😎 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
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Jun 9, 2026
[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
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Mar 22, 2022 - Python
[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
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Apr 3, 2021 - Python
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
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Jan 3, 2024 - Jupyter Notebook
[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
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Mar 5, 2026 - Python
Synthetic Minority Over-Sampling Technique for Regression
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Feb 7, 2024 - Python
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
nlp docker machine-learning deep-learning random-forest text-classification tensorflow svm word2vec geolocation keras gensim tensorboard ab-testing spam-classification lstm-neural-networks imbalanced-data kdtree timeseries-analysis mlflow
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Dec 15, 2020
[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
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Feb 5, 2024 - Python
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
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Jun 11, 2026 - Python
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
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Nov 9, 2019 - Python
Python-based implementations of algorithms for learning on imbalanced data.
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Jan 29, 2022 - Python
Code repository for the online course Machine Learning with Imbalanced Data
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Nov 29, 2024 - Jupyter Notebook
[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
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Jan 26, 2023 - Python
[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
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Jun 17, 2024 - Jupyter Notebook
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
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Dec 16, 2020 - Python
Papers about long-tailed tasks
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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
rust machine-learning classification gbdt gbm gradient-boosting-machine imbalanced-data automl fraud-detection gradient-boosting gradient-boosting-decision-trees data-drift
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Jul 16, 2026 - Rust
A general, feasible, and extensible framework for classification tasks.
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Sep 19, 2025 - Python
[NeurIPS 2025] This repo is official PyTorch implementation of the paper "Learning Dense Hand Contact Estimation from Imbalanced Data".
transformer class-imbalance imbalanced-data data-imbalance hand-object-interaction contact-estimation neurips-2025 hand-contact spatial-imbalance
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Oct 23, 2025 - Python
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