The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Apr 1, 2024 - 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 person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Accelerated deep learning R&D
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
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
Metric learning and retrieval pipelines, models and zoo.
Blazing fast framework for fine-tuning similarity learning models
PyTorch Implementation for Deep Metric Learning Pipelines
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Paper List for Contrastive Learning for Natural Language Processing
This is the implementation of paper <Additive Margin Softmax for Face Verification>
A simple yet effective loss function for face verification.
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
😎 A curated list of awesome practical Metric Learning and its applications
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