#Imbalanced-data

Showing 11 of 11 repositories tagged #imbalanced-data, ranked by stars

ZhiningLiu1998
ZhiningLiu1998
awesome-imbalanced-learning

😎 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

Score
0
★ 1.5k ⑂ 231
YyzHarry
YyzHarry
imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Score
67
★ 920 ⑂ 149
Python
ZhiningLiu1998
ZhiningLiu1998
imbalanced-ensemble

[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

Score
100
★ 429 ⑂ 61 +1/day
Python
ZhiningLiu1998
ZhiningLiu1998
self-paced-ensemble

[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

Score
33
★ 260 ⑂ 49
Python
jrzaurin
jrzaurin
LightGBM-with-Focal-Loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

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0
★ 253 ⑂ 39
Python
dialnd
dialnd
imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

Score
67
★ 241 ⑂ 67
Python
solegalli
solegalli
machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

Score
100
★ 185 ⑂ 225
Jupyter Notebook
ashishpatel26
ashishpatel26
datascienv

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

Score
33
★ 58 ⑂ 12
Python
tgsmith61591
tgsmith61591
skoot

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.

Score
0
★ 57 ⑂ 11
Python
safreita1
safreita1
malnet-image

A large-scale database of malicious software images

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0
★ 51 ⑂ 14
Python
AmirhosseinHonardoust
AmirhosseinHonardoust
Financial-Fraud-Risk-Engine

A complete end-to-end fraud detection system for financial transactions, featuring data pipelines, cost-sensitive ML modeling, explainability with SHAP, threshold optimization, batch scoring, and an interactive Streamlit dashboard. Designed to simulate real-world fintech fraud-risk workflows.

Score
0
★ 20 ⑂ 3
Python
Related Topics
#machine-learning#data-science#imbalanced-learning#python#imbalanced-classification#scikit-learn#class-imbalance#ensemble-learning#python3#computer-vision#long-tail#classification

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