Implementation of novel oversampling algorithms.
MIT License
DoubleML - Double Machine Learning in Python
Fast Best-Subset Selection Library
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Systematically learn and evaluate manifolds from high-dimensional data
A general interface for clustering based over-sampling algorithms.
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
scikit-activeml: Python library for active learning on top of scikit-learn
Comparison-based Machine Learning in Python
Minimal Learning Machine implementation using the scikit-learn API.
Awesome Domain Adaptation Python Toolbox
Scikit-learn compatible estimation of general graphical models
A framework for prototyping and benchmarking imputation methods
Domain adaptation toolbox compatible with scikit-learn and pytorch
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
Fuzzy machine learning algorithms implementing the scikit-learn interface.