metric-learning topic

Code for Supervised Word Mover's Distance (SWMD)

gaohuang

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily config...

nmichlo

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

gcucurull

Adversarial Ranking Attack and Defense, ECCV, 2020.

cdluminate

Awesome papers in few-shot learning/one-shot learning.

zhoumu53

Accelerated deep learning R&D

catalyst-team

Blazing fast framework for fine-tuning similarity learning models

qdrant

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

jina-ai

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

tensorflow

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

KevinMusgrave