scikit-learn
Machine learning in Python
Shogun
Machine learning toolbox.
xLearn
High Performance, Easy-to-use, and Scalable Machine Learning Package.
cuML
RAPIDS Machine Learning Library.
modAL
Modular active learning framework for Python3.
Sparkit-learn
PySpark + scikit-learn = Sparkit-learn.
mlpack
A scalable C++ machine learning library (Python bindings).
dlib
Toolkit for making real world machine learning and data analysis applications in C++ (Python bindings).
MLxtend
Extension and helper modules for Python’s data analysis and machine learning libraries.
hyperlearn
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.
Reproducible Experiment Platform (REP)
Machine Learning toolbox for Humans.
scikit-multilearn
Multi-label classification for python.
seqlearn
Sequence classification toolkit for Python.
pystruct
Simple structured learning framework for Python.
sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models.
RuleFit
Implementation of the rulefit.
metric-learn
Metric learning algorithms in Python.
pyGAM
Generalized Additive Models in Python.
Karate Club
An unsupervised machine learning library for graph structured data.
Little Ball of Fur
A library for sampling graph structured data.
causalml
Uplift modeling and causal inference with machine learning algorithms.
