FastCountVectorizer is a faster alternative to scikit-learn CountVectorizer.
MIT License
Distributed scikit-learn meta-estimators in PySpark
scikit-learn: machine learning in Python
A scikit-learn based module for multi-label et. al. classification
Helper functions for all stages of the machine learning cycle.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
PySpark + Scikit-learn = Sparkit-learn
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Sequential model-based optimization with a `scipy.optimize` interface
Comparison-based Machine Learning in Python
An experiment about re-implementing supervised learning models based on shallow neural network ap...
Metric learning algorithms in Python
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et...
Feature engineering package with sklearn like functionality