Kubeflow vs TensorFlow: What are the differences?
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.
What is TensorFlow? Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Kubeflow and TensorFlow can be categorized as "Machine Learning" tools.
Kubeflow is an open source tool with 6.93K GitHub stars and 1K GitHub forks. Here's a link to Kubeflow's open source repository on GitHub.
What is Kubeflow?
What is TensorFlow?
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Why do developers choose Kubeflow?
What are the cons of using Kubeflow?
What tools integrate with TensorFlow?
Machine Learning in EECS 445