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/
Best Practices on Recommendation Systems
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.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
An index of algorithms for learning causality with data
历史学习项目:Spark 电影推荐、爬虫、Web 与后台。新版持续开发见 cinematch-recommender。
Pytorch domain library for recommendation systems
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Minimal reproduction of OneRec
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
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MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Windows Hardware Diagnostic & Local AI Model Advisor. Fast in-process hardware detection & intelligent local LLM recommender for Ollama.
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