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The Simplified PyTorch MLOps Workflow with Arm and GitHub is a collaborative effort between Arm and GitHub to streamline the machine learning operations (MLOps) lifecycle for PyTorch models. This workflow leverages GitHub Actions, Arm-hosted runners, and containerization to automate and optimize key stages of the ML lifecycle, from training to deployment.
The Simplified PyTorch MLOps Workflow with Arm and GitHub is a collaborative effort between Arm and GitHub to streamline the machine learning operations (MLOps) lifecycle for PyTorch models. This workflow leverages GitHub Actions, Arm-hosted runners, and containerization to automate and optimize key stages of the ML lifecycle, from training to deployment.