Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. | It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works. |
Explore models built and uploaded by your Data Science team, all from one centralized repository; Create and scale model deployments in just a few clicks. Deploy models developed in any framework or language; Make better business decisions to save your team time and money. Monitor model performance and detect model decay as it happens; Spend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than ever; Manage multivariate models through A/B testing for live inference and batch tasks; Apply business logic to your model prediction results. Create workflows for your models using multiple sources and languages | Thousands of models, ready to use;
Automatic API;
Automatic scale;
Pay by the second |
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Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

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