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imbalanced-learning

Here are 71 public repositories matching this topic...

ZhaoJ9014 / face.evoLVe.PyTorch

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🔥High-Performance Face Recognition Library on PyTorch🔥

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machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining

Updated Mar 26, 2020
Python

ZhiningLiu1998 / awesome-imbalanced-learning

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A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

machine-learning awesome ensemble-learning awesome-list class-imbalance imbalanced-data imbalanced-learning imbalanced-classification

Updated Jul 17, 2020

smote_variants

analyticalmindsltd / smote_variants

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A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

imbalanced-data smote oversampling imbalanced-learning

Updated Oct 11, 2020
Python

YyzHarry / imbalanced-semi-self

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[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

Updated Sep 26, 2020
Python

self-paced-ensemble

ZhiningLiu1998 / self-paced-ensemble

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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

machine-learning python3 ensemble-learning imbalanced-data imbalanced-learning ensemble-methods imbalance-classification

Updated Aug 4, 2020
Python

massquantity / Class-Imbalance

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《机器学习之类别不平衡问题》文章代码

imbalanced-learning

Updated Nov 26, 2018
Jupyter Notebook

ncordon / undergraduate-dissertation

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Final career project on PAC theory and imbalanced datasets

machine-learning imbalanced-learning pac-theory

Updated Sep 6, 2020
TeX

iamyuanchung / csdnn

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Theano implementation of Cost-Sensitive Deep Neural Networks

theano deep-learning imbalanced-learning cost-sensitive-learning

Updated Jun 1, 2018
Python

Treers / MetaCost

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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.

machine-learning imbalanced-learning cost-sensitive

Updated May 20, 2019
Python

AlgoWit / geometric-smote

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Implementation of the Geometric SMOTE over-sampling algorithm.

python data-science machine-learning oversampling imbalanced-learning

Updated Aug 7, 2020
Python

ricardoamferreira / Predicting-Adverse-Drug-Reactions-with-Machine-Learning

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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.

machine-learning scikit-learn xgboost rdkit imbalanced-learning adverse-drug-reaction

Updated Jul 6, 2019
Jupyter Notebook

paobranco / SMOGN-LIDTA17

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SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017

regression imbalanced-learning pre-processing

Updated Aug 1, 2017
R

MaxHalford / pytorch-resample

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🎲 Iterable dataset resampling in PyTorch

pytorch resampling oversampling imbalanced-learning undersampling

Updated Aug 13, 2020
Python

EmeryLau / mesa

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MESA: Effective Ensemble Imbalanced Learning with MEta-SAmpler

ensemble-learning class-imbalance imbalanced-learning meta-learning resampling-methods

Updated Jun 3, 2020
Jupyter Notebook

NestorRV / SOUL

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SOUL: Scala Oversampling and Undersampling Library.

algorithm scala classification oversampling imbalanced-learning undersampling

Updated Apr 11, 2019
Scala

mdh266 / DocumentClassificationNLP

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Text Classification with Scikit-Learn, Imbalanced-Learn and the NLTK

nlp machine-learning natural-language-processing naive-bayes scikit-learn nltk document-classification support-vector-machine imbalanced-data imbalanced-learning

Updated Oct 13, 2020
Jupyter Notebook

arunvignesh15 / Machine-Learning

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Learn and Explore

machine-learning random-forest cross-validation regression xgboost classification svm-classifier tpot smote bagging knn-classification imbalanced-learning gridsearchcv

Updated Aug 6, 2019
Jupyter Notebook

robinsonkwame / adversarial_labeller

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Adversarial labeller is a sklearn compatible instance labelling tool for model selection under data drift.

machine-learning adversarial-machine-learning imbalanced-learning data-drift

Updated Mar 31, 2020
Python

eliiza / imbalanced-data

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Examples of algorithms dealing with imbalanced data.

neural-network random-forest imbalanced-data imbalanced-learning hellinger-distance-criterion

Updated Sep 26, 2020
Jupyter Notebook

PierreGuilmin / impact-annotator_v2

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Develop a knowledge-based approach using MSK-IMPACT data to build an automatic variant classifier

python data-science machine-learning r scikit-learn cancer-genomics imbalanced-learning

Updated Dec 28, 2018
Jupyter Notebook

rodolfomp123 / imb-mulan

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The Mulan Framework with Multi-Label Resampling Algorithms

multi-label-classification multi-label imbalanced-data imbalanced-learning multilabel multi-label-learning mulan multi-label-problem data-imbalance imbalance-classification imbalanceness multi-label-imbalance imb-mulan mulan-framework imbalanceness-mulan multilabel-imbalance multi-label-imbalanceness

Updated Feb 8, 2020
HTML

HMJiangGatech / ESmote

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ESmote - An R package implemneting fast SMOTE algorithm

machine-learning r smote imbalanced-learning

Updated Oct 30, 2019
C++

markalexander / imbalanced-learning-papers

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Papers on imbalanced learning

imbalanced-data imbalanced-learning

Updated Jun 23, 2018
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Yoyodyne-Data-Science / GroupStratifiedShuffleSplit

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Group Stratified Shuffle Split cross validator for data science projects

cross-validation imbalanced-data imbalanced-learning shuffle-split

Updated Mar 30, 2020
Jupyter Notebook

RamEppala / imbalanceddatasetproject

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Machine Learning Project on Imbalanced Data in R

machine-learning support-vector-machine feature-engineering naive-bayes-algorithm hypothesis-testing smote oversampling imbalanced-learning xgboost-algorithm undersampling datacleaning dataexploration

Updated Feb 24, 2018
R

nunompmoniz / ReBoost

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An R Package with Boosting and SMOTEBoost implementations for Regression Tasks

regression ensemble-learning boosting imbalanced-learning resampling-strategies smoteboost

Updated Nov 27, 2019
R

AlgoWit / cluster-over-sampling

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Clustering based over-sampling.

data-science scikit-learn python3 imbalanced-data oversampling imbalanced-learning

Updated Oct 16, 2020
Python

sahutkarsh / likelihood-ratio-imbalance-degree

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A new metric to measure multi-class imbalance degree of data using likelihood ratio test based on the paper LRID by Rui Zhu et. al.

imbalanced-data imbalanced-learning likelihood-ratio-test

Updated Mar 22, 2019
Jupyter Notebook

JalajVora / Text-Analytics-with-Multi-Class-and-Imbalanced-Learning

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Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus

python machine-learning neural-network naive-bayes-classifier logistic-regression gutenberg text-analytics decision-tree-classifier imbalanced-data multiclass-classification imbalanced-learning complement-navie-bayes random-forest-classifier text-retrieval svm-rbf over-sampling

Updated Sep 4, 2020
HTML

harisyammnv / MasterArbeit

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Master Thesis

neural-network thesis bayesian imbalanced-learning skewness

Updated Apr 5, 2018
Jupyter Notebook

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