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The Wayback Machine - https://web.archive.org/web/20210906084111/https://github.com/topics/metric-learning
Here are
196 public repositories
matching this topic...
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Updated
Aug 31, 2021
Python
Accelerated deep learning R&D
Updated
Sep 6, 2021
Python
Open source person re-identification library in python
Updated
Apr 23, 2019
Python
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Jan 28, 2021
Python
Updated
Mar 11, 2019
Python
PyTorch Implementation for Deep Metric Learning Pipelines
Updated
Jun 17, 2020
Python
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Updated
Aug 29, 2018
Jupyter Notebook
A comprehensive survey of deep metric learning and related works
A simple yet effective loss function for face verification.
Updated
Aug 3, 2018
MATLAB
In defence of metric learning for speaker recognition
Updated
Aug 29, 2021
Python
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Updated
Sep 15, 2020
Python
A PyTorch library for benchmarking deep metric learning. It's powerful.
Updated
Jan 21, 2021
Python
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Updated
Sep 4, 2019
Python
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Updated
Oct 5, 2020
Python
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Updated
May 17, 2021
Python
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Updated
Oct 24, 2019
Python
(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.
Updated
Jul 28, 2021
Python
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Updated
Mar 26, 2018
Python
A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
Updated
Feb 6, 2020
Python
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!
Updated
Aug 25, 2021
Python
Deep metric learning methods implemented in Chainer
Updated
Jul 12, 2018
Python
SegSort: Segmentation by Discriminative Sorting of Segments
Updated
Aug 31, 2021
Python
Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
Updated
Dec 18, 2020
Python
Deep Face Recognition in PyTorch
Updated
Apr 12, 2019
Python
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Updated
Feb 20, 2021
Python
code for ICCV19 paper "Deep Meta Metric Learning"
Updated
Jul 30, 2019
Python
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
Updated
Aug 11, 2021
Python
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Updated
Aug 10, 2020
Python
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
Updated
Apr 12, 2021
Python
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As pointed out in scikit-learn-contrib/metric-learn#307 (comment), the current example for
SCML_Supervisedis in the weakly supervised setting.