#Metric-learning
Showing 21 of 21 repositories tagged #metric-learning, ranked by stars
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.
Accelerated deep learning R&D
Metric learning algorithms in Python
Open source person re-identification library in python
Metric learning and retrieval pipelines, models and zoo.
Blazing fast framework for fine-tuning similarity learning models
https://www.kaggle.com/c/humpback-whale-identification
PyTorch Implementation for Deep Metric Learning Pipelines
Paper List for Contrastive Learning for Natural Language Processing
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
A library for ML benchmarking. It's powerful.
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
Local Fisher Discriminant Analysis in R
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Foundational library for Kernel methods in pattern analysis and machine learning