This is the ROS2 package including the tools for Soft Somatosensitive Sensor (SSS).
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Updated
Feb 1, 2021 - Python
This is the ROS2 package including the tools for Soft Somatosensitive Sensor (SSS).
Facenet--Triplet loss for image embedding using Cifar100 dataset
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
Spring 2022 Bioimage Informatics (Self-Study ) project using triplet loss and hard negative mining
A Image Retrieval System
his repository contains an implementation for eliminating backdoor triggers embedded in images, particularly addressing poison label attacks such as Trojan, BadNets, and Blend.
Contrastive representation learning with PyTorch
Perform Face Recognition with FaceNet on Avengers.
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
Pytorch Implementation of the Paper A UNIFIED VIEW OF DEEP METRIC LEARNING VIA GRADIENT ANALYSIS
This repository contains PyTorch implementation of the Paper Training Triplet Networks With GAN on MNIST Dataset
This project is intended to discover posssible appoaches to estimate audio similarity.
Face_Recognition project, meant to be used for attendance system in IIT hostels under CSquare program, IITPKD
Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.
Create your own databse, compile tripletloss with pre-trained FaceNet model, run real-time face recognition on local host
Keyword spotting using Triplet loss.
Naver AI Hackathon 2018 : Image Retrieval Challenge
Facial Recognition using Haar Casscade, CNN and Triplet Loss
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