Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)
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Updated
May 31, 2024 - Python
Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)
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.
An anime recommender system based off of MyAnimeList user reviews
PyTorch Implementation of Context-Aware Sequential Model for Multi-Behaviour Recommendation https://arxiv.org/abs/2312.09684
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Pytorch domain library for recommendation systems
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
📽️ Intuitive Movie Recommendations for You! 🍿
RecTools - library to build Recommendation Systems easier and faster than ever before
Content based movie recommendation system
Machine learning papers
Using the MovieLens dataset, will create a customer recommendation system from scratch using PyTorch.
Versatile End-to-End Recommender System
The FranKGraphBench is a Framework to allow KG Aware RSs to be benchmarked in a reproducible and easy to implement manner. It was first created on Google Summer of Code 2023 for Data Integration between DBpedia and some standard RS datasets in a reproducible framework.
ALPHACODE MACHINE LEARNING PROJECTS
A framework for large scale recommendation algorithms.
Benchmark for Multi-Scenario-Recommendation.
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