A toolkit for time series machine learning algorithms.
BSD-3-CLAUSE License
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
Hierarchical Time Series Forecasting with a familiar API
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
scikit-learn: machine learning in Python
Hummingbird compiles trained ML models into tensor computation for faster inference.
Helper functions for all stages of the machine learning cycle.
Metric learning algorithms in Python
A unified framework for tabular probabilistic regression and probability distributions in python
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Automated Tool for Optimized Modelling
PySpark + Scikit-learn = Sparkit-learn
A toolkit for machine learning from time series
A unified framework for machine learning with time series
Machine learning pipeline configuration on steroids (on tictacs actually)
Natural Intelligence is still a pretty good idea.