The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Sep 11, 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"
In defence of metric learning for speaker recognition
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
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"
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
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!
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
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