montest Public

A stochastic BDD framework for Python designed to test non-deterministic systems (e.g., LLMs) by evaluating statistical distributions rather than binary outcomes

open-cells Public

Open Cells routes & communicates web component applications.

mercury-robust Public

mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.

mercury-dataschema Public

Utility package that, given a Pandas DataFrame, it uses the DataSchema class which auto-infers feature types and automatically calculates different statistics depending on the types.

mercury-reels Public

Reels is a library for analyzing sequences of events from transactional data to predict when related target events may occur in the future.

mercury Public

Mercury project hub and landing page

mercury-explainability Public

mercury-explainability is a library with implementations of different state-of-the-art methods in the field of explainability. They are designed to work efficiently and to be easily integrated with the main Machine Learning frameworks.