Neural Tangent Kernel (NTK) module for the scikit-learn library
BSD-3-CLAUSE License
A scikit-learn compatible library for graph kernels
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CI...
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with mini...
Metric learning algorithms in Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et...
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Helper functions for all stages of the machine learning cycle.
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
scikit-learn: machine learning in Python
A scikit-learn based module for multi-label et. al. classification
scikit-activeml: Python library for active learning on top of scikit-learn
An intuitive library to add plotting functionality to scikit-learn objects.