pytorch-metric-learning

Metric Learning Library

A PyTorch-based library for easy implementation of deep metric learning in applications.

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

GitHub

6k stars
62 watching
658 forks
Language: Python
last commit: 19 days ago
computer-visioncontrastive-learningdeep-learningdeep-metric-learningembeddingsimage-retrievalmachine-learningmetric-learningpytorchself-supervised-learning

Related projects:

Repository Description Stars
jfzhang95/pytorch-deeplab-xception A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets 2,910
shangtongzhang/deeprl A modularized implementation of various deep reinforcement learning algorithms in PyTorch 3,189
oml-team/open-metric-learning A PyTorch-based framework for training and validating models that produce high-quality embeddings for computer vision and other tasks. 882
ahkarami/deep-learning-in-production A collection of notes and references on deploying deep learning models in production environments 4,306
p-christ/deep-reinforcement-learning-algorithms-with-pytorch PyTorch implementations of popular deep reinforcement learning algorithms and environments. 5,640
mop/bier This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness. 39
nvidia/apex Tools for streamlined mixed precision and distributed training in PyTorch 8,407
bytedance/byteps A high-performance distributed deep learning framework supporting multiple frameworks and networks 3,630
qubvel-org/segmentation_models.pytorch A PyTorch library for building and training neural networks for image segmentation tasks. 9,696
ddbourgin/numpy-ml A collection of machine learning algorithms implemented in NumPy for rapid experimentation and prototyping. 15,466
mosaicml/composer A PyTorch-based deep learning training library designed to simplify large-scale model training on clusters. 5,161
dsgiitr/d2l-pytorch An open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch 4,244
sktime/pytorch-forecasting A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures 4,001
dsksd/deepnlp-models-pytorch Pytorch implementations of various Deep NLP models from Stanford's cs-224n course 2,954
luolc/adabound An optimizer that combines the benefits of Adam and SGD algorithms 2,907