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Top 10 Open Source MLOps ToolsCategory: Kubernetes, Docker, github, automation, machine-learning
This article was originally published on The Chief I/O: Top 10 Open Source MLOps ToolsMLOps refers to the combined usage of DevOps and Machine Learning to create robust automation, tracking, pipelining, monitoring, and packaging system for Machine Learning models. Open source MLOps tools give users the freedom to enjoy the automation and flexibility offered by MLOps without spending a fortune.
Kubeflow is a full-fledged open source MLOps tool that makes the orchestration and deployment of Machine Learning workflows easier.
Pachyderm is an open source Machine Learning tool written in Golang and has over 5,000 stars on GitHub.
Seldon is an open source MLOps framework designed to streamline Machine Learning workflows with logging, advanced metrics, testing, scaling, and conversion of models into production microservices.
Kubeflow is a full-fledged open source MLOps tool that makes the orchestration and deployment of Machine Learning workflows easier.
Pachyderm is an open source Machine Learning tool written in Golang and has over 5,000 stars on GitHub.
Seldon is an open source MLOps framework designed to streamline Machine Learning workflows with logging, advanced metrics, testing, scaling, and conversion of models into production microservices.
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