Pytorch domain library for recommendation systems
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Updated
Jul 9, 2024 - Python
Pytorch domain library for recommendation systems
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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.
End-to-end product that scrapes recent academic publications and prepares a feed of recommended readings for you.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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An educational, web-based game to explain how recommendation systems work to a broader audience.
ML project on movie recommendation systems, showcasing collaborative filtering and content-based approaches using Python relevant libraries.
Book Reccomendation System for "Popularity" and "Collaborative Filtraing" Based Reccomendation
A comprehensive exploration of unsupervised learning techniques, including clustering and dimensionality reduction, applied to real-world data science projects.
Material from the Msc in Data Science (AUEB) Part Time 2021-2023
A framework for large scale recommendation algorithms.
Paper List of Pre-trained Foundation Recommender Models
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Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
Generates embeddings for the Recommedation API and updater
BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.
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