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

Code for AAAI 2020 paper Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

A PyTorch Library for Meta-learning Research

On the Unreasonable Effectiveness of Centroids in Image Retrieval

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.

Implementation of the paper "It's All in the Head: Representation Knowledge Distillation through Classifier Sharing"

Enhancing Adversarial Robustness for Deep Metric Learning, CVPR, 2022

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification（AAAI-2020）

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)