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KitOps is an open source MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools while collaborating effortlessly. Since we're focused on simplifying and standardizing the packaging of AI/ML models, the answers to most of the questions are "we support that as long as the asset you put into the ModelKit supports it." For example we support any model serialization type so if your deployment pipeline works with ONNX and you package up a ModelKit with an ONNX model then all is good.
I've added the open source KitOps project to the linked spreadsheet as column
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.KitOps is an open source MLOps project that packages your model, datasets, code, and configuration so data scientists and developers can use their preferred tools while collaborating effortlessly. Since we're focused on simplifying and standardizing the packaging of AI/ML models, the answers to most of the questions are "we support that as long as the asset you put into the ModelKit supports it." For example we support any model serialization type so if your deployment pipeline works with ONNX and you package up a ModelKit with an ONNX model then all is good.
Project site: https://kitops.ml/
GitHub repo: https://github.com/jozu-ai/kitops
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