Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings
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Updated
Sep 17, 2024 - Python
Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings
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.
AI Makeover --- Use AI to makeover yourself!
Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"
[ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"
Easy-to-use, Modular and Extendible package of deep-learning based fashion recommendation models with PyTorch.
Diversity in Fashion Recommendation Using Semantic Parsing
Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
A clothing retrieval and visual recommendation model for fashion images.
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