A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
Build a robust testing framework for machine learning models
Revolutionize the productionization of machine learning systems
Integrate machine learning and engineering teams
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Machine Learning: Tests and Production
Best practices for testing ML-based systems.
Why Data Quality is Key to Successful ML Ops
A look at ML Ops and highlight how and why data quality is key to ML Ops workflows.
How to Trust Your Deep Learning Code
We will focus on how to write reusable unit tests, so that you “Don’t repeat yourself”.
Behavioral Testing of NLP Models
Beyond Accuracy: Behavioral Testing of NLP models with CheckList.
Share what you've made with ML.