There are 12 repositories under imbalanced-learning topic.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
A curated list of long-tailed recognition resources.
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Code repository for the online course Machine Learning with Imbalanced Data
[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
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
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
🎲 Iterable dataset resampling in PyTorch
Papers about long-tailed tasks
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
Awesome literature on imbalanced learning on graphs
[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
[NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?".
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
Implementation of the Geometric SMOTE over-sampling algorithm.
Theano implementation of Cost-Sensitive Deep Neural Networks
SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using the databases SIDER and OFFSIDES.
Some trick for handling imbalanced dataset
Approx-SMOTE: fast SMOTE for Big Data on Apache Spark
R Package for Imbalanced Regression