awesome-open-mlops
Enrichment pendingThe Fuzzy Labs guide to the universe of open source MLOps
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Apache-2.0Created Nov 16, 2021
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Overview
The Fuzzy Labs guide to the universe of open source MLOps
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Model deployment and serving
Model serving is the process of taking a trained model and presenting it behind a REST API, and this enables other software components to interact with a model. To make deployment of these model servers as simple as possible, it's commonplace to run them inside Docker containers and deploy them to a container orchestration system such as Kubernetes.
| Name | License | Description |
|---|---|---|
| BentoML | Apache 2.0 | |
| Bodywork | AGPL-3.0 | |
| KServe | Apache 2.0 | |
| MLEM | Apache 2.0 | 🐶 Version and deploy your ML models following GitOps principles |