Statistics for topic recommender-system
RepositoryStats tracks 638,602 Github repositories, of these 283 are tagged with the recommender-system topic. The most common primary language for repositories using this topic is Python (161). Other languages include: Jupyter Notebook (42)
Stargazers over time for topic recommender-system
Most starred repositories for topic recommender-system (view more)
Trending repositories for topic recommender-system (view more)
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 c...
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
An easy-to-use framework for large scale recommendation algorithms.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
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/
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 c...
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
[arXiv'24] Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future
An easy-to-use framework for large scale recommendation algorithms.
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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 c...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
[arXiv'24] Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future
An easy-to-use framework for large scale recommendation algorithms.
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, and recommendations.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A standalone AI-powered application designed to learn your viewing preferences on your Plex server and provide personalized recommendations on what to watch.
An easy-to-use framework for large scale recommendation algorithms.
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/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 c...
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
An easy-to-use framework for large scale recommendation algorithms.
A curated list of resources on cold-start recommendations.
A Repository chatbot and Recommendation system for Github users.
