awesome-ml-pipelines and awesome-mlops-platforms
Both projects are curated lists within the "awesome-mlops" ecosystem, with one focusing on tools for ML pipelines and the other on broader MLOps platforms; they are **complementary resources**, as one might explore the pipelines tools listed in A and then look for platforms in B that integrate or support those tools.
About awesome-ml-pipelines
awesome-mlops/awesome-ml-pipelines
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
This is a curated collection of tools and products that help data scientists and machine learning engineers manage and automate their complex data and machine learning workflows. It provides options for orchestrating tasks, scheduling jobs, and monitoring the entire lifecycle of a machine learning project, from data ingestion to model deployment. The resources help you build robust, repeatable, and scalable machine learning pipelines.
About awesome-mlops-platforms
awesome-mlops/awesome-mlops-platforms
A curated list of awesome open source and commercial MLOps platforms 🚀
This is a curated list of tools and platforms designed to help machine learning engineers, data scientists, and MLOps practitioners manage the entire lifecycle of their machine learning projects. It takes a high-level need to deploy and manage AI models and provides options for platforms that streamline development, training, and deployment. The primary users are individuals responsible for bringing machine learning models from experimentation to production.
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