Recommender System
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A high-performance vector database and search engine written in Rust, designed for AI applications with filtering and payload support.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A Python library implementing hybrid recommendation algorithms with metadata support for both implicit and explicit feedback.
Fast Python library for collaborative filtering recommendation algorithms on implicit feedback datasets.
A TensorFlow library for building, training, and deploying recommender system models with Keras.
A Python library implementing Factorization Machines with a scikit-learn compatible API for regression, classification, and ranking tasks.
A comparative Python framework for building, evaluating, and deploying multimodal recommender systems with auxiliary data.
Open-source teaching materials for a practical Machine Learning in Finance course, focusing on industry tools and real-world use cases.
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