Top 3 Shell mlflow Projects
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Kubeflow is an ML platform like Sagemaker or Databricks that you can self-host in a Kubernetes cluster.
Installing/deploying it is as complicated as it sounds, but we've put together an infrastructure project that lets you '1-click' install it even in tiny environments.
The GH repo (also linked in blog) allows you to start Kubeflow in a codespace or small device using a docker container -- this is both good for trying it out and developing it into your own internal ML platform.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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mlflow-tracking-server
This repository hosts the code to make it easier to deploy a customizable and flexible MLflow tracking server solution to your Kubernetes cluster.
Index
What are some of the best open-source mlflow projects in Shell? This list will help you:
Project | Stars | |
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1 | mlflow-easyauth | 100 |
2 | kubeflow-bootstrap | 16 |
3 | mlflow-tracking-server | 1 |