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- Kapow! If you can script it, you can HTTP it.
- 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.
- 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
- 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.
- mercury-monitoring is a library to monitor data and model drift
mercury-dataschema
PublicUtility 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.discussions
Publicapicheck
Public- Web Application Firewall Benchmark
- The clever vulnerability dependency finder
- PoC: Artifact Tracing via Process IO Monitoring
purescript-google-apps
Public- Create complex tools execution Workflows for working together
- Time series based anomaly detector
data-refinery
PublicData transformation