fuseml/fuseml
FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.
FuseML helps Data Engineers and DevOps Engineers streamline the process of taking machine learning code from development to production. It allows you to integrate various AI/ML tools like TensorFlow, PyTorch, and MLFlow into cohesive, automated workflows. The output is a deployed, serving machine learning model, ready for inference.
No commits in the last 6 months.
Use this if you need to quickly and consistently deploy machine learning models to production using a flexible MLOps framework that integrates your preferred AI/ML tools.
Not ideal if you are a data scientist primarily focused on model development and training, and do not manage the operational aspects of MLOps deployments.
Stars
85
Forks
9
Language
Go
License
Apache-2.0
Category
Last pushed
Dec 02, 2021
Commits (30d)
0
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