#计算机科学#The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
翻译 - 在应用程序中使用深度度量学习的最简单方法。模块化,灵活和可扩展。写在PyTorch中。
#计算机科学#Torchreid: Deep learning person re-identification in PyTorch.
翻译 - Torchreid:PyTorch中的深度学习人员重新标识。
:bouncing_ball_person: 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/...
翻译 - 一个微小的,友好的,强大的火炬实现人员重新识别基准。教程👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
#自然语言处理#Accelerated deep learning R&D
翻译 - 加快DL研发
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
翻译 - 微调任何 DNN 以更好地嵌入神经搜索任务
#计算机科学#Metric learning algorithms in Python
翻译 - Python中的度量学习算法
#计算机科学#Open source person re-identification library in python
#计算机科学#Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
In defence of metric learning for speaker recognition
#计算机科学#TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
翻译 - TensorFlow Similarity 是一个 Python 包,专注于使相似性学习变得快速而简单。
#计算机科学#Metric learning and retrieval pipelines, models and zoo.
#计算机科学#Blazing fast framework for fine-tuning similarity learning models
#计算机科学#https://www.kaggle.com/c/humpback-whale-identification
翻译 - HTTPS://呜呜呜.卡改革了.com/从/humpback-whale-identification
#计算机科学#PyTorch Implementation for Deep Metric Learning Pipelines
#自然语言处理#Paper List for Contrastive Learning for Natural Language Processing
#计算机科学#Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
#Awesome#😎 A curated list of awesome practical Metric Learning and its applications
This is the implementation of paper <Additive Margin Softmax for Face Verification>
#人脸识别#A simple yet effective loss function for face verification.
#人脸识别#Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)