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Caffe2 vs Kubeflow: What are the differences?
Caffe2: Open Source Cross-Platform Machine Learning Tools (by Facebook). Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile; 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.
Caffe2 and Kubeflow can be primarily classified as "Machine Learning" tools.
Caffe2 and Kubeflow are both open source tools. It seems that Caffe2 with 8.46K GitHub stars and 2.13K forks on GitHub has more adoption than Kubeflow with 7.04K GitHub stars and 1.03K GitHub forks.
Pros of Caffe2
- Mobile deployment1
- Open Source1
Pros of Kubeflow
- System designer9
- Google backed3
- Customisation3
- Kfp dsl3
- Azure0
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What is Caffe2?
What is Kubeflow?
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What companies use Caffe2?
What companies use Kubeflow?
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What tools integrate with Kubeflow?
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