MLOps shouldn't stop at deployment
Make your machine learning efforts more reliable and build confidence in your deployed models with tools like enhanced outlier, adversarial and drift detection.
Take control of model performance with advanced drift detection
Notice changes in data dynamics & define whether detected drift will cause a decrease in model performance.
Discover critical anomalies in input and output data using outlier detection
Alert business units and users when seeing unexpected behavior.
Adversarial detection ensures that models perform consistently
Return the score that indicates the presence of features & instances that trick the model outcome.
Start Now
Start using Alibi Detect today through GitHub. You’ll only need a license for production use. It’s free for all non-production and academic uses.Â
Features
