Richard Edgar's repositories
ResponsibleAI
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
azureml-previews
Azure Machine Learning previews
DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
fairlearn
A Python package to assess and improve fairness of machine learning models.
fairlearn-proposals
Proposal Documents for Fairlearn
guidance
A guidance language for controlling large language models.
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps