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- 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.
BBVA/mercury-robust’s past year of commit activity - mercury-settrie Public
A Python 3 library developed in C++ that enables efficient storage and querying of sets of sets. It can be used to perform fast document search. Uses the Settrie algorithm: https://osebje.famnit.upr.si/~savnik/papers/cdares13.pdf
BBVA/mercury-settrie’s past year of commit activity - 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.
BBVA/mercury-reels’s past year of commit activity - 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.
BBVA/mercury-explainability’s past year of commit activity - 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.
BBVA/mercury-dataschema’s past year of commit activity
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