Weights & Biases is a machine learning platform that helps data scientists track experiments, visualize results, and collaborate on model development and deployment.. There are currently 2 open-source alternatives to Weights & Biases, with a combined total of 6.3k GitHub stars. The most common language among these projects is Python.
Showing 2 open-source alternatives
An open-source, self-hosted ML experiment tracker with a performant UI and SDK for comparing and querying training runs.
A Python library for logging ML metrics, parameters, and models in simple file formats, compatible with DVC and Git.
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