A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
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Updated
Apr 7, 2025 - Python
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Synthetic Minority Over-Sampling Technique for Regression
[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
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Python-based implementations of algorithms for learning on imbalanced data.
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
A general, feasible, and extensible framework for classification tasks.
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3
[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
A large-scale database of malicious software images
Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
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