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Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Accelerated deep learning R&D
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
fastFM: A Library for Factorization Machines
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
recommender system tutorial with Python
Java-Based Context-aware Recommendation Library