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https://github.com/malleswarigelli/chest_disease_image_classification_
Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins
https://github.com/malleswarigelli/chest_disease_image_classification_
aws-ec2 aws-ecr ci-cd cnn-image-classification custom-exceptions deep-learning docker dvc-pipeline gdown gdrive github-workflows jenkins keras-tensorflow logging mlflow-model mlflow-tracking pandas sklean vgg16-model
Last synced: 20 days ago
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Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins
- Host: GitHub
- URL: https://github.com/malleswarigelli/chest_disease_image_classification_
- Owner: malleswarigelli
- License: mit
- Created: 2024-03-08T17:30:53.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-05-22T14:47:04.000Z (8 months ago)
- Last Synced: 2024-05-22T16:05:31.121Z (8 months ago)
- Topics: aws-ec2, aws-ecr, ci-cd, cnn-image-classification, custom-exceptions, deep-learning, docker, dvc-pipeline, gdown, gdrive, github-workflows, jenkins, keras-tensorflow, logging, mlflow-model, mlflow-tracking, pandas, sklean, vgg16-model
- Language: Jupyter Notebook
- Homepage:
- Size: 104 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE