PyTorch Metric Learning

TL;DR

PyTorch Metric Learning is an open source library that simplifies the implementation of deep metric learning algorithms, enabling quick experimentation and deployment for researchers and practitioners.

Contribution

It introduces a modular, flexible library with complete workflows to streamline deep metric learning tasks in PyTorch.

Findings

Facilitates rapid experimentation with metric learning algorithms

Provides comprehensive train/test workflows for quick results

Enhances accessibility for researchers and practitioners

Abstract

Deep metric learning algorithms have a wide variety of applications, but implementing these algorithms can be tedious and time consuming. PyTorch Metric Learning is an open source library that aims to remove this barrier for both researchers and practitioners. The modular and flexible design allows users to easily try out different combinations of algorithms in their existing code. It also comes with complete train/test workflows, for users who want results fast. Code and documentation is available at https://www.github.com/KevinMusgrave/pytorch-metric-learning.