Popular GitHub Repositories for Metric Learning

Torchreid: Deep learning person re-identification in PyTorch.

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Blazing fast framework for fine-tuning similarity learning models

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 simple yet effective loss function for face verification.

A library for ML benchmarking. It's powerful.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

? Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

[CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers

[ECCV 2020] Training neural networks to predict visual overlap of images, through interpretable non-metric box embeddings

Foundational library for Kernel methods in pattern analysis and machine learning