Giskard

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for all ML models . We already empower customers with two solutions: 1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and ML...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for all ML models . We already empower customers with two solutions: 1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for *all* ML models . We already empower customers with two solutions: The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models. It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . The Giskard server helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components,...

Giskard defends the vision of a  Responsible AI  that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to  evaluate & test the quality of ML models. We are building the first  collaborative & open-source Quality Assurance platform for all ML models . We already empower customers with two solutions: 1. The Giskard Python library   helps   Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this  documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for all ML models . We already empower customers with two solutions: 1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and ML...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models . We are building the first collaborative & open-source Quality Assurance platform for *all* ML models . We already empower customers with two solutions: The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . The Giskard server helps ML Engineers debug & compare models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing...

Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models. We are building the first collaborative & open-source Quality Assurance platform for *all* ML models . We already empower customers with two solutions: 1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models . It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation . 2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components,...