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

Implementation of triplet loss in TensorFlow

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

Person re-ID baseline with triplet loss

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

Re-implementation of tripletloss function in FaceNet

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

MassFace: an effecient implementation using triplet loss for face recognition

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Using SigComp'11 dataset for signature verification

This project is intended to solve the task of massive image retrieval.

Keras implementation of "Deep Learning using Triplet Network" by Hoffer and Ailon. https://arxiv.org/pdf/1412.6622.pdf

Who is your doppelgänger and more with Keras face recognition

R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

Image similarity using Triplet Loss

My solution to the Global Data Science Challenge

Image Retrieval Experiment Using Triplet Loss

One-Shot Learning with Triplet CNNs in Pytorch

A tensorflow siamese network implementation. Illustrated using singature recognition/identification.

An example of doing MovieLens recommendations using triplet loss in Keras

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

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