Library of recommender functions build on top of sklearns estimators
MIT License
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
Toolkit to forge scikit-learn compatible estimators
building a movie recommendation system using collaborative filtering techniques.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Helper functions for all stages of the machine learning cycle.
[UNMAINTAINED] Automated machine learning for analytics & production
A unified framework for machine learning with time series
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
3 lines of code for automate machine learning for classification and regression
A package for data science practitioners. This library implements a number of helpful, common dat...
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
A constantly updated python machine learning cheatsheet
Hyper-parameter optimization for sklearn
A Python-based movie recommendation system utilizing popularity-based, content-based, and collabo...