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A Python package to assess and improve fairness of machine learning models.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A curated list of awesome responsible machine learning resources.
Classical equations and diagrams in machine learning
A topic-centric list of HQ open datasets.
A gallery displaying stylesheets for Matplotlib
This is a repository for a seminar course at Aalto University (and U. Helsinki) on non-discriminatory machine learning T-61.6010
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Some sample IPython notebooks for scikit-learn
A curated list of awesome awesomeness
A recommender systems development and evaluation package by Mendeley
A python library for implementing a recommender system
Statsmodels: statistical modeling and econometrics in Python
The fundamental package for scientific computing with Python.
scikit-learn: machine learning in Python
Tutorial material on the scientific Python ecosystem