177 Open source projects that are alternatives of or similar to triplet-loss-pytorch

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

A simple yet effective loss function for face verification.

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

A comprehensive survey of deep metric learning and related works

Awesome Pytorch Tutorials

In defence of metric learning for speaker recognition

Awesome Few-shot learning

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

Reproduce some methods in semi-supervised papers.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

🔥 OpenPose api wrapper in PyTorch.

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

Source code for our "TitleStylist" paper at ACL 2020

Adversarial Ranking Attack and Defense, ECCV, 2020.

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

A PyTorch-based toolkit for natural language processing

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

R package for Distance Metric Learning

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

A PyTorch Implementation of Convolutional Conditional Neural Process.

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Open source person re-identification library in python

Quorum.js is an extension to web3.js providing support for JP Morgan's Quorum API

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Metric learning algorithms in Python

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Learning Tree structures and Tree metrics

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

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

some loss functions of image segmentation

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

Official repository for "Orthogonal Projection Loss" (ICCV'21)

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

Tensorflow NCE loss in Keras

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

SegSort: Segmentation by Discriminative Sorting of Segments

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Siamese and triplet networks with online pair/triplet mining in PyTorch

Extensible dev console for Meteor

A generic triplet data loader for image classification problems,and a triplet loss net demo.

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)

This project implements triplet loss and semi-hard mining in tensorflow.

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

One-Shot Learning with Triplet CNNs in Pytorch

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

The first fully convolutional metric learning for geometric/semantic image correspondences.