Open standard for machine learning interoperability

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Experiment tracking, ML developer tools

Python library for converting Scikit-Learn pipelines to PMML

Java library and command-line application for converting Scikit-Learn pipelines to PMML

Python PMML scoring library

Using Teachable Machine Models in Node.js

A library for exporting Spark ML models and pipelines to PFA

apispec plugin that generates OpenAPI specification (aka Swagger Docs) for Falcon web applications.

Repository for ONNX working group artifacts

Trusted ML Pipeline Tutorial