Showing 1-12 of 12 projects
An open-source recommender system engine that supports multimodal content via embedding for AI-focused developers.
A curated list of must-read papers on recommender systems, covering collaborative filtering, deep learning, and more.
A unified, comprehensive and efficient recommendation library for building recommendation systems.
This repository contains deep learning-based articles, papers, and repositories for recommendation systems.
A deep matching model library for building recommendation and advertising systems using AI tools.
This repository provides a neural collaborative filtering library for building recommender systems.
Deep learning for recommender systems collaboration
An open-source toolkit for deep learning-based recommendation with TensorFlow.
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
A next-generation recommendation system library for building AI-powered content discovery platforms.
A comparative framework for building multimodal recommender systems using collaborative filtering and matrix factorization.
A collection of AI-related tutorials and resources for developers, focused on topics like machine learning, NLP, and data science.
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