Diversity in Fashion Recommendation Using Semantic Parsing
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Updated
Dec 17, 2018 - Python
Diversity in Fashion Recommendation Using Semantic Parsing
A clothing retrieval and visual recommendation model for fashion images.
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
An image recognition model which is capable of identifying the pattern on a dress image
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
Presenting a professional e-commerce webpage on Fashion (Front-end). "Rosie" has a huge collection of fashion items beautifully presented in this webpage using carousels and parallax scrolling CSS features flavored with Bootstrap, thereby providing it with a cent percent professional look
Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability
Rapid Crew - A Fashion recommandation System
🎓 Our bachelor thesis for the Honors Program (2019 - 2023), Faculty of Information Technology at the University of Science, VNU-HCM
A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
The system harnesses the power of embeddings produced by the SentenceTransformer model to depict product descriptions and utilizes the Faiss library to conduct efficient similarity searches.
Easy-to-use, Modular and Extendible package of deep-learning based fashion recommendation models with PyTorch.
Fashion design platform powered by Stable Diffusion XL Turbo.
Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings
Multi-class Fashion Item Detection Dataset
50022-Images-Human-Costume-Apparel-Accessory-Segmentation-Data
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
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