A testing framework for ML models.


Giskard is an open-source ML testing platform that helps automate the process of detecting errors, biases, and security holes in ML models. It unifies ML testing using standardized methodologies for optimal model deployment and ensures compliance with AI regulations through its quality management system. Giskard is designed for data scientists, ML engineers, and quality specialists who work on business-critical AI applications that prioritize quality, security, safety & performance in production while adhering to responsible AI principles such as fairness transparency accountability.

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