TensorFlow vs Neptune: What are the differences?
Developers describe TensorFlow as "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. On the other hand, Neptune is detailed as "The most lightweight experiment tracking tool for machine learning". It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.
TensorFlow and Neptune can be categorized as "Machine Learning" tools.
TensorFlow is an open source tool with 141K GitHub stars and 79.7K GitHub forks. Here's a link to TensorFlow's open source repository on GitHub.
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What is Neptune?
What is TensorFlow?
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Red Hat, Inc.