Topics / #recommender-system

Recommender-system projects on GitHub

Building recommendations from embeddings and user behavior.

As of , the most-starred Recommender-system projects on GitHub are qdrant (35.1K stars), d2l-en (29.9K stars) and weaviate (16.9K stars). GitHub.Locker tracks 5 Recommender-system repositories with 93.7K stars combined. The fastest-growing on October 17 was d2l-en, with +13 stars in a day.

5Projects
93.7KStars in total
+30Stars in a day
Browse in the catalog →github.com/topics/recommender-system ↗

Hot right now

Most stars gained in a day · Oct 17

+13

d2l-en

d2l-ai/d2l-en · ★ 29.9K

An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

+9

qdrant

qdrant/qdrant · ★ 35.1K

Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

+8

lancedb

lancedb/lancedb · ★ 11.7K

LanceDB is an open-source vector database for multimodal AI: a central platform where you store, index and search petabytes of vectors and multimodal data, built for fast, production-ready retrieval.

The all-time top

5 projects · by stars

  1. #1 · qdrant/qdrant

    qdrant

    Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

    35.1K
  2. #2 · d2l-ai/d2l-en

    d2l-en

    An interactive open-source deep learning book that teaches concepts, context, and runnable code together, with examples in multiple frameworks. Its premise: the best way to understand deep learning is learning by doing.

    29.9K
  3. #3 · weaviate/weaviate

    weaviate

    Weaviate is an open-source, cloud-native vector database: it stores objects and vectors together and lets you combine vector search with structured filtering for semantic search at scale.

    16.9K
  1. 4

    lancedb

    11.7Klancedb/lancedb · Rust

    LanceDB is an open-source vector database for multimodal AI: a central platform where you store, index and search petabytes of vectors and multimodal data, built for fast, production-ready retrieval.

  2. 5

    LLMSearchRecommender

    124alopatenko/LLMSearchRecommender

    A curated compendium of research papers, surveys, and industry engineering practices on using Generative AI and LLMs to build search engines, recommender systems, personalization engines, and question-answering systems.

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