🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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Updated
Dec 23, 2022 - Python
🔥🔥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
Code repository for the online course Machine Learning with Imbalanced Data
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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.
A curated list of long-tailed recognition resources.
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
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition
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
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Implementation of the Geometric SMOTE over-sampling algorithm.
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.
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
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