Credit-Default-Classificaiton

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

? 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

Synthetic Minority Over-Sampling Technique for Regression

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

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

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

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

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.

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.