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

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Accelerated deep learning R&D

Open source person re-identification library in python

In defence of metric learning for speaker recognition

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Metric learning algorithms in Python

https://www.kaggle.com/c/humpback-whale-identification

This is the implementation of paper <Additive Margin Softmax for Face Verification>

A simple yet effective loss function for face verification.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

PyTorch Implementation for Deep Metric Learning Pipelines

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

Paper List for Contrastive Learning for Natural Language Processing

Metric learning and retrieval pipelines, models and zoo.

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).