The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Mar 19, 2023 - Python
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Torchreid: Deep learning person re-identification in PyTorch.
Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial
Accelerated deep learning R&D
Metric learning algorithms in Python
Open source person re-identification library in python
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
In defence of metric learning for speaker recognition
PyTorch Implementation for Deep Metric Learning Pipelines
This is the implementation of paper <Additive Margin Softmax for Face Verification>
A simple yet effective loss function for face verification.
Library for metric learning pipelines
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Blazing fast framework for fine-tuning similarity learning models
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
A library for ML benchmarking. It's powerful.
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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