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Gluon vs Kubeflow: What are the differences?
What is Gluon? Deep Learning API from AWS and Microsoft. A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.
What is Kubeflow? Machine Learning Toolkit for Kubernetes. The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
Gluon and Kubeflow can be primarily classified as "Machine Learning" tools.
Kubeflow is an open source tool with 7.04K GitHub stars and 1.03K GitHub forks. Here's a link to Kubeflow's open source repository on GitHub.
Pros of Gluon
- Good learning materials3
Pros of Kubeflow
- System designer9
- Google backed3
- Customisation3
- Kfp dsl3
- Azure0
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