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All the available resources to master MLOPS from scratch

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What's inside

Tools

  • aimstack

    an open-source AI metadata tracking tool designed to handle thousands of tracked metadata sequences

  • Amazon SageMaker

    one solution for MLOps. You can train and accelerate model development, track and version experiments, catalog ML artifacts, integrate CI/CD ML pipelines, and deploy, serve, and monitor models in production seamlessly.

  • bentoml

    makes it easy and faster to ship machine learning applications

  • censius

    an end-to-end AI observability platform that offers automatic monitoring and proactive troubleshooting.

  • Charmed Kubeflow

    The fully supported MLOps platform for any cloud

  • comet

    a platform for tracking, comparing, explaining, and optimizing machine learning models and experiments

Showing a sample of 139 resources. View the full list on GitHub →