mlrun and MLOps
MLRun is a comprehensive, actively-maintained production platform with extensive integration capabilities, while the MLOps repository appears to be an educational or reference resource, making them complementary rather than competitive—one could use MLRun as the orchestration backbone while consulting the other for MLOps best practices documentation.
About mlrun
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
This platform helps data scientists and ML engineers quickly build and manage AI applications throughout their lifecycle. It takes your raw data and machine learning code, then automates the processes for data preparation, model training, deployment, and ongoing monitoring. The output is a continuously running, production-ready AI application or service.
About MLOps
raminmohammadi/MLOps
Machine Learning In Production (MLOps)
This project provides practical learning materials for setting up and managing machine learning systems. It helps you take raw machine learning models and turn them into reliable, scalable applications that can be used by real people. You'll get step-by-step guides and code examples, and in return, you'll gain the skills to build robust ML pipelines and oversee their performance in live environments. This is for data scientists, machine learning engineers, and IT professionals who want to bridge the gap between model development and production.
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