harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch
A PyTorch implementation of Siamese neural networks for facial image similarity and one-shot learning.
Not currently ranked — collecting fresh signals.
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This repository implements Siamese networks with contrastive loss in PyTorch for facial similarity detection. The twin network architecture learns to distinguish image pairs by computing embedding distances. It includes notebook-based tutorials with support for datasets organized in class folders, compatible with PyTorch 0.4.0.
Frequently asked
- What is harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch?
- A PyTorch implementation of Siamese neural networks for facial image similarity and one-shot learning.
- Is Facial-Similarity-with-Siamese-Networks-in-Pytorch open source?
- Yes — harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch is open source, released under the MIT license.
- What language is Facial-Similarity-with-Siamese-Networks-in-Pytorch written in?
- harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch is primarily written in Jupyter Notebook.
- How popular is Facial-Similarity-with-Siamese-Networks-in-Pytorch?
- harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch has 990 stars on GitHub.
- Where can I find Facial-Similarity-with-Siamese-Networks-in-Pytorch?
- harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch is on GitHub at https://github.com/harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch.