Machine learning pipeline configuration on steroids (on tictacs actually)
OTHER License
Python package implementing transformers for pre processing steps for machine learning.
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
A toolkit for time series machine learning algorithms.
Ml framework.
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Improved pipelines for data science projects.
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
a package for versioning, automatization and analysis of machine learning development
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
Natural Intelligence is still a pretty good idea.
scikit-activeml: Python library for active learning on top of scikit-learn
Helper functions for all stages of the machine learning cycle.