Clustering routines for the unit sphere
MIT License
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
A general interface for clustering based over-sampling algorithms.
Fast local density clustering for low-dimensional data
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
The practitioner's forecasting library
scikit-learn compatible estimators for various kNN imputation methods
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
A Python package for common-nearest-neighbours clustering
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering cate...
Python library for portfolio optimization built on top of scikit-learn
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
Minimal Learning Machine implementation using the scikit-learn API.
Domain adaptation toolbox compatible with scikit-learn and pytorch
DoubleML - Double Machine Learning in Python
Scikit-learn compatible estimation of general graphical models