Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings

Occasion-specific Stylist AI is a cutting-edge project designed to provide personalized fashion recommendations based on various occasions.

Multi-class Fashion Item Detection Dataset

50022-Images-Human-Costume-Apparel-Accessory-Segmentation-Data

Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"

AI Makeover --- Use AI to makeover yourself!

This project is a fashion recommendation system designed to suggest similar fashion products based on a user's uploaded image.

[ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"

[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

Fashion design platform powered by Stable Diffusion XL Turbo.

Easy-to-use, Modular and Extendible package of deep-learning based fashion recommendation models with PyTorch.

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.

A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.

🎓 Our bachelor thesis for the Honors Program (2019 - 2023), Faculty of Information Technology at the University of Science, VNU-HCM

Rapid Crew - A Fashion recommandation System

Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability

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

Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"