GoogleCloudPlatform/mlops-with-vertex-ai
End-to-end MLOps example demonstrating ML pipeline orchestration on Google Cloud using TensorFlow, TFX, and Vertex AI.
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This repository provides a complete MLOps workflow on Google Cloud’s Vertex AI platform. It implements ML pipelines using Keras for model development, TFX (TensorFlow Extended) for orchestrating training workflows, and Vertex AI for model training, validation, and deployment. The example uses the Chicago Taxi Trips dataset to build a tip prediction model, demonstrating dataset management, training pipeline construction, model versioning, and continuous deployment practices.
Frequently asked
- What is GoogleCloudPlatform/mlops-with-vertex-ai?
- End-to-end MLOps example demonstrating ML pipeline orchestration on Google Cloud using TensorFlow, TFX, and Vertex AI.
- Is mlops-with-vertex-ai open source?
- Yes — GoogleCloudPlatform/mlops-with-vertex-ai is open source, released under the Apache-2.0 license.
- What language is mlops-with-vertex-ai written in?
- GoogleCloudPlatform/mlops-with-vertex-ai is primarily written in Jupyter Notebook.
- How popular is mlops-with-vertex-ai?
- GoogleCloudPlatform/mlops-with-vertex-ai has 423 stars on GitHub.
- Where can I find mlops-with-vertex-ai?
- GoogleCloudPlatform/mlops-with-vertex-ai is on GitHub at https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai.