mlops
CPU-first TensorFlow MLOps pipeline with YAML configs, step architecture, local MLflow, SavedModel export, and batch/FastAPI serving.
This template provides a solid foundation for building mlops-tensorflow applications. It comes with all the essential tools and configurations to help you get started quickly.
The MLOps TensorFlow Starter template is designed to help developers jumpstart their projects with best practices, modern tooling, and a well-structured codebase.
Enhance your MLOps TensorFlow Starter with these powerful extensions
Get started quickly with these popular template and extension combinations
mlops-tensorflow
ci
$ uvx create-awesome-python-app \
--template mlops-tensorflow-starter \
--addons github-setup
mlops-tensorflow
ci
$ uvx create-awesome-python-app \
--template mlops-tensorflow-starter \
--addons all-mlops-github-actions
mlops-tensorflow
mlops
$ uvx create-awesome-python-app \
--template mlops-tensorflow-starter \
--addons all-mlops-tabular-data
mlops-tensorflow
mlops
$ uvx create-awesome-python-app \
--template mlops-tensorflow-starter \
--addons all-mlops-sequence-data
Start creating your awesome Python app with this template