vithursant/MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
This project provides a PyTorch implementation of "Magnet Loss," a deep metric learning technique. It takes raw image data and outputs a more organized, "learned embedding space" where similar items are grouped closer together, which can improve classification and retrieval tasks. This is for machine learning researchers and practitioners who are building or experimenting with deep learning models for classification or similarity search.
218 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer working with PyTorch and want to experiment with or implement Magnet Loss for deep metric learning tasks.
Not ideal if you are looking for a pre-trained model or a user-friendly application to directly apply to your data without coding expertise.
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218
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29
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2024
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