https://github.com/uddithmachiraju/clip-mlops-pipeline
This repository is designed to train, evaluate, and deploy CLIP model for image-text processing. It includes modular components for data processing, model training, experiment tracking with MLflow, API deployment with FlaskAPI, and CI/CD automation using Jenkins and Docker.
https://github.com/uddithmachiraju/clip-mlops-pipeline
ci-cd-pipeline deployment docker fashion-mnist flask-api machine-learning mlflow mlops pytest python3 tracking vision-transformer
Last synced: 2 months ago
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This repository is designed to train, evaluate, and deploy CLIP model for image-text processing. It includes modular components for data processing, model training, experiment tracking with MLflow, API deployment with FlaskAPI, and CI/CD automation using Jenkins and Docker.
- Host: GitHub
- URL: https://github.com/uddithmachiraju/clip-mlops-pipeline
- Owner: uddithmachiraju
- Created: 2025-03-01T16:41:04.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-09T06:22:55.000Z (7 months ago)
- Last Synced: 2025-03-23T18:19:02.009Z (7 months ago)
- Topics: ci-cd-pipeline, deployment, docker, fashion-mnist, flask-api, machine-learning, mlflow, mlops, pytest, python3, tracking, vision-transformer
- Language: Python
- Homepage:
- Size: 30.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: