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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Updated
Jun 26, 2024 - Rust
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A framework for large scale recommendation algorithms.
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.
Pytorch domain library for recommendation systems
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Fairness analysis of the results of ranking algorithms applied on Google+ ego-networks. Inequality and inequity measured on the results produced by eccentricity centrality and PageRank algorithms.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Recipe Genie is a recipe recommendation system that recommends recipes to users based on the ingredients they have at home.
Featrix Open Source
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
A Comparative Framework for Multimodal Recommender Systems
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Recommendations for Ruby and Rails using collaborative filtering
A Curated List of Must-read Papers on Recommender System.
The data, code and thesis for my own masters thesis in the AI Project (CT5129) module.
Content based movie recommendation system
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Here are some of my projects on different topics!
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