Topic: product-matching Goto Github
Some thing interesting about product-matching
Some thing interesting about product-matching
product-matching,Internship Assignment
User: anubhavlakhotia
product-matching,The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020
User: englishbook
Home Page: https://ir-ischool-uos.github.io/mwpd/index.html
product-matching,A proof-of-concept entity resolution approach, with Tensorflow, inside a MonetDB.
User: ilias-ant
product-matching,βοΈ Neural network for product matching, aka classifying whether two product titles represent the same entity
User: mascerade
product-matching,Unsupervised Product Matching; A product classifier algorithm that groups products into clusters of similarity based on their title using combinations.
User: mascerade
product-matching,The Pytorch implementation of RAEA model, corresponding to the World Wide Wed 2023 paper "Cross-platform Product Matching based on Entity Alignment of Knowledge Graph with RAEA model", which achieves competive performance on entity alignment in DBP15k and DBP100k datasets.
User: mockingjay-liu
Home Page: https://doi.org/10.1007/s11280-022-01134-y
product-matching,Finding Product using captured product Images in the shelf Images for tracking location of Product in the store.
User: mramanindia
product-matching,The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.
User: paritoshtripathi935
Home Page: https://paritoshtripathi935.github.io/Product-Matching/
product-matching,Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification
User: ruparna25
product-matching,Matching givewn product in the shelf
User: sayan0506
product-matching,
Organization: wbsg-uni-mannheim-students
product-matching,This repository contains code and extensive prompt examples to reproduce and extend the experiments in our papers "Using ChatGPT for Entity Matching" and "Entity Matching using Large Language Models".
Organization: wbsg-uni-mannheim
product-matching,This repository contains code and data download scripts for the paper "Intermediate Training of BERT for Product Matching" by Ralph Peeters, Christian Bizer and Goran GlavaΕ‘.
Organization: wbsg-uni-mannheim
product-matching,This repository contains code and data download scripts for the paper "Using schema.org annotations for training and maintaining product matchers" by Ralph Peeters, Anna Primpeli, Benedikt Wichtlhuber and Christian Bizer.
Organization: wbsg-uni-mannheim
product-matching,code for shopee product matching challenge
User: yagmurtumukluu
Home Page: https://www.kaggle.com/c/shopee-product-matching/overview/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.