The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Integrate deep learning techniques for comparing images in your applications.
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Free · no card · unsubscribe anytimeThe easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-metric-learning has 6.3k stars on GitHub. It has been forked 659 times. pytorch-metric-learning is written mainly in Python. It has been in active development since 2019. pytorch-metric-learning is available under the MIT license. Its main topics are computer-vision, contrastive-learning, deep-learning, deep-metric-learning.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-metric-learning is an open-source project. It is released under the MIT license.
Yes. pytorch-metric-learning is free and open source — you can use, modify and self-host it.
pytorch-metric-learning is available under the MIT license.
pytorch-metric-learning is written mainly in Python.
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