Beast code in Giters

Bernardo's repositories

pycaret

An open-source, low-code machine learning library in Python

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bgalvao

public introduction of self on github

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

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mlops-pytests

I wrote pytests from deepchecks (and...?) so you don't have to

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authelia

The Single Sign-On Multi-Factor portal for web apps

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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

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congo

A powerful, lightweight theme for Hugo built with Tailwind CSS.

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DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

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docker-tf-odapi

Dockerized TensorFlow Object Detection API and model format conversion tasks.

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european-portuguese-for-dummies

A well-intended book to help me frens and other people speak portuguese the euro way.

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feast

Feature Store for Machine Learning

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feast-mssql-old

MSSQL offline and online stores for Feast

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featureform

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

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kowalski

a collection of (data science) routines

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monitoring

Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.

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Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.

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