A KMeans implemented in C++ with Python bindings and GPU acceleration
MIT License
GPU Accelerated t-SNE for CUDA with Python bindings
Package for local graph clustering
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering cate...
Python bindings for Google's cpu_features library. Allows python developers to enable hardware sp...
Fast brown clustering using python
Simple clustering library for python.
Machine Learning Tutor Python library
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://jo...
Fast K-Medoids clustering in Python with FasterPAM
OpenCL integration for Python, plus shiny features
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
High-Performance Klong array language in Python.