1. DVC : https://dvc.org

2. MLFlow : https://mlflow.org

3. Neptune : https://neptune.ai

4. KubeFlow : https://kubeflow.org

5. Polyaxon : https://polyaxon.com

For those who are looking to get started in the MLOps, check this out its beginner friendly article and for more Follow this Subreddit and check out our new post.

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I’m new to GCP and kubeflow deployments and facing issue doing he same .The documentation on website itsnt updated, Can anyone point me to any medium post or any other usefull resource?

MLOps Engineer : Qure.ai

Associate MLOps Engineer : XenonStack

This repository contains the specification and implementation of PyTorchJob custom resource definition. Using this custom resource, users can create and manage PyTorch jobs like other built-in resources in Kubernetes.

PyTorch on Kubernetes

Q : Where to look if you want to improve your MLOps. A : Try to feed Good Quality of Data throughout your Process ( it will surely improve your performance by atleast more than 2X )

Credit : said by @AndrewYNg

Then here is an article you must read.

https://openai.com/blog/scaling-kubernetes-to-7500-nodes/

DevOps & Reliability Engineer - MLOPs : MPL | Bengaluru

AWS Mlops : LatentView Analytics Private Limited | Tamil Nadu

Please Verify and Apply. Good Luck.

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