🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
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Updated
Feb 29, 2024 - JavaScript
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
MLOPS-Pipeline-Dashboard offers a straightforward way for users to manage machine learning tasks without needing technical skills. With an intuitive interface, this tool simplifies the process from data upload to model deployment, making it accessible for everyone. 🐙💻
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
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