Shypd.aiThe largest open index of AI toolsHands-on-train-and-deploy-ml is an open-source GitHub repository that guides users through training and deploying an ML REST API to predict crypto prices. It covers model training, serverless deployment, and automation with GitHub Actions.
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Hands-on-train-and-deploy-ml is a comprehensive GitHub repository offering a step-by-step tutorial for building and deploying a machine learning REST API. The project focuses on predicting crypto prices, providing a practical guide for ML engineers to move beyond notebooks. It covers essential MLOps frameworks and tools, including CometML for experiment tracking and model registry, Cerebrium for serverless deployment, and GitHub Actions for automating safe deployments. The tutorial is structured into three main parts: model training, model deployment as a REST API, and automation with GitHub Actions and Model Registry. It emphasizes a 100% serverless stack, making it accessible without complex infrastructure setup.
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