Month: October 2022

The recommended articles the author has read this week.
This letter is posted every Monday.

This week, the author introduces two practical OSS to perform Bayesian Optimization.

BoTorch

A python library for Bayesian Optimization accelerated by PyTorch. This OSS is worth to be paid attention although it is currently in beta and under active development.

Optuna

One of the most famous python libraries for Bayesian Optimization, developed by Preferred Networks, Inc. We can use it with flexibility, fast execution, and easy parallelization.

BayesianOptimization

This GitHub repository (a python library) is also educational and worth reading, where the algorithm is implemented based on the Gaussian Process.

The recommended articles the author has read this week.
This letter is posted every Monday.

This week, the author introduces two practical OSS to check the fairness of a machine learning model, e. g. a model is unwillingly biased toward certain information.

Themis ML

A python library to check the fairness. And, this library is built on top of pandas and scikit-learn, so it is expected user friendly.

AI Fairness 360 (AIF360)

A python and R library containing methods for checking fairness.