wubinzzu/NeuRec

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1061 stars · 216 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NeuRec is an open-source Python library for recommender systems built on TensorFlow, offering 33 state-of-the-art neural recommendation models for general, social, and sequential recommendation tasks. It supports GPU acceleration, flexible configuration, and cross-platform use via Docker.

Use cases

• build a neural collaborative filtering recommender
• compare state-of-the-art recommendation models
• implement next-item sequential recommendation
• train recommenders on GPU with fast evaluation
• experiment with social recommendation using graph networks

When to choose

• you need many neural recommender baselines out of the box
• you want a TensorFlow-based recommendation research library
• you need general, social, or sequential recommendation in one framework

When to avoid

• you need a production serving system rather than a research library
• you require a non-TensorFlow stack like PyTorch
• you need actively maintained releases or commercial support

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning data-science python cross-platform recommender-systems collaborative-filtering tensorflow neural-networks sequential-recommendation social-recommendation gpu docker

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For agents

markdown · JSON · MCP: product_card(name="wubinzzu/NeuRec")