A clothing retrieval and visual recommendation model for fashion images.

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

Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"

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

Diversity in Fashion Recommendation Using Semantic Parsing

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

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

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

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.

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