kingabzpro/CICD-for-Machine-Learning
A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
This project helps machine learning engineers or data scientists automate the process of building, evaluating, and deploying their predictive models. You push your model code to GitHub, and it automatically trains a new model, evaluates its performance, keeps track of different versions, and updates the live application. This ensures your deployed model is always the latest and most accurate.
119 stars. No commits in the last 6 months.
Use this if you want to streamline and automate the entire lifecycle of your machine learning models from development to deployment.
Not ideal if you are looking for a complex, enterprise-grade MLOps platform with advanced features like feature stores or model registries.
Stars
119
Forks
75
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 02, 2024
Commits (30d)
0
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