A unified framework for machine learning with time series
BSD-3-CLAUSE License
A toolkit for machine learning from time series
Time series forecasting with scikit-learn models
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
A unified framework for tabular probabilistic regression and probability distributions in python
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
Automated Tool for Optimized Modelling
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
scikit-learn: machine learning in Python
Natural Intelligence is still a pretty good idea.
Feature engineering package with sklearn like functionality
The practitioner's forecasting library
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Hierarchical Time Series Forecasting with a familiar API
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).