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Search results for python imbalanced learning
imbalanced-learning
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21 search results found
Face.evolve
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3,074
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Imbalanced Semi Self
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393
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Imbalanced Regression
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372
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Imbalanced Ensemble
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234
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
Balancedmse
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227
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Self Paced Ensemble
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217
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
Prophitbet Soccer Bets Predictor
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192
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.
Machine Learning Imbalanced Data
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141
Code repository for the online course Machine Learning with Imbalanced Data
Multi Domain Imbalance
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86
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Unimvsnet
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64
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Pytorch Resample
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60
🎲 Iterable dataset resampling in PyTorch
Reslt
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50
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
Geometric Smote
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26
Implementation of the Geometric SMOTE over-sampling algorithm.
Ranksim Imbalanced Regression
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17
[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Csdnn
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12
Theano implementation of Cost-Sensitive Deep Neural Networks
Vibration_gan
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11
Gan for time series vibration signals generation task under imbalanced learning
Shike
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9
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)
Metacost
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9
P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.
Cluster Over Sampling
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7
A general interface for clustering based over-sampling algorithms.
B3clf
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6
Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.
Move
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5
Official PyTorch Repository of "Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition" (AAAI 2023 Oral Paper) and Imbalanced-MiniKinetics200 dataset.
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