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1. Session1-Image-Classification-Github-Actions Session1-Image-Classification-Github-Actions Public

   Set up Github actions to validate file handling steps and accuracy score of a Pytorch classification model

   Python

2. Session2-CIFAR-Deployment-with-Flask-and-Heroku Session2-CIFAR-Deployment-with-Flask-and-Heroku Public

   Created Resnet18 based Pytorch model and trained on CIFAR10 dataset. Created Flask application for the classification model and deployed on Heroku.

   Jupyter Notebook

3. Session3-Docker-Flask-Pytorch-Heroku-Imagenet-Classification Session3-Docker-Flask-Pytorch-Heroku-Imagenet-Classification Public

   Use a pretrained model for Imagenet dataset. Build a flask application in a docker container and deploy that to Heroku.

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4. Session4-Kubernetes-MongoDB-Express- Session4-Kubernetes-MongoDB-Express- Public

   Deploy MongoDB express with custom Service name in Kubernetes

5. mlops-zoomcamp mlops-zoomcamp Public

   Forked from DataTalksClub/mlops-zoomcamp

   Free MLOps course from DataTalks.Club

   Jupyter Notebook