COLLECTED BY
Organization:
Internet Archive
Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
The Wayback Machine - https://web.archive.org/web/20200810201634/https://github.com/topics/metric-learning
Here are
123 public repositories
matching this topic...
Updated
Aug 10, 2020
Python
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Updated
Aug 10, 2020
Python
Open source person re-identification library in python
Updated
Apr 23, 2019
Python
Metric learning algorithms in Python
Updated
Aug 4, 2020
Python
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Updated
Jun 22, 2018
Python
Updated
Mar 11, 2019
Python
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Updated
Aug 29, 2018
Jupyter Notebook
A simple yet effective loss function for face verification.
Updated
Aug 3, 2018
MATLAB
PyTorch Implementation for Deep Metric Learning Pipelines
Updated
Jun 17, 2020
Python
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Updated
May 14, 2020
Python
A comprehensive survey of deep metric learning and related works
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Updated
Sep 4, 2019
Python
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Updated
Oct 24, 2019
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
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Updated
Dec 9, 2019
Python
A PyTorch library for benchmarking deep metric learning. It's powerful.
Updated
Aug 6, 2020
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
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Updated
Aug 22, 2019
Python
In defence of metric learning for speaker recognition
Updated
Aug 1, 2020
Python
Deep metric learning methods implemented in Chainer
Updated
Jul 12, 2018
Python
SegSort: Segmentation by Discriminative Sorting of Segments
Updated
May 30, 2020
Python
Deep Face Recognition in PyTorch
Updated
Apr 12, 2019
Python
code for ICCV19 paper "Deep Meta Metric Learning"
Updated
Jul 30, 2019
Python
Code for Supervised Word Mover's Distance (SWMD)
Updated
Jan 7, 2018
MATLAB
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
Updated
Jul 17, 2020
Python
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
Updated
Mar 28, 2020
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 this field.
Updated
Jul 18, 2020
Python
Local Fisher Discriminant Analysis in R
Code the the paper "Metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
Updated
Mar 25, 2020
Python
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
Updated
Apr 4, 2020
MATLAB
Improve this page
Add a description, image, and links to the
metric-learning
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
metric-learning
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.