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This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

MLOps examples

Training YOLOv5/YOLOv9 to detect fire in a video

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions

One-Shot Face Recognition Using Siamese Neural Networks

Building ML Blocks with Kubeflow Orchestration with Feature Store.

Building ML Features At-scale with Amazon SageMaker Feature Store Using Data from Amazon Redshift