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Caffe2 vs Pipelines: What are the differences?
What is 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.
What is Pipelines? Machine Learning Pipelines for Kubeflow. Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK.
Caffe2 and Pipelines belong to "Machine Learning Tools" category of the tech stack.
Caffe2 and Pipelines are both open source tools. It seems that Caffe2 with 8.46K GitHub stars and 2.13K forks on GitHub has more adoption than Pipelines with 944 GitHub stars and 247 GitHub forks.
Pros of Caffe2
- Mobile deployment1
- Open Source1