Spark acceleration for Scikit-Learn cross validation techniques
APACHE-2.0 License
ML hyperparameters tuning and features selection, using evolutionary algorithms.
A package for data science practitioners. This library implements a number of helpful, common dat...
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...
⏸ Parallelized hyper-param optimization with validation set, not crossval
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
This library allows you to quickly train machine learning classifiers by automatically splitting ...
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
Automated Machine Learning with scikit-learn
Sklearn (Scikit-learn) like interface for Chainer
Python package for the GenSVM classifier
Distributed scikit-learn meta-estimators in PySpark
A constantly updated python machine learning cheatsheet
Extends scikit-learn with new models, transformers, metrics, plotting.
A GridSearchCV like object for clustering in sklearn