Sci-Fi worth consuming
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Updated
Dec 22, 2025
Sci-Fi worth consuming
A unified, comprehensive and efficient recommendation library
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
👍👎 A recommendation engine using Likes and Dislikes for your Ruby app
This is a repository of public data sources for Recommender Systems (RS).
Laravel Livewire Best Practices
Ten thousand books, six million ratings
Recommendations for secure applications development with Rust
《推荐系统:工业架构与核心算法》开源书稿
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Better Github Star History charts, and repository recommendation engine
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Self-hosted music discovery for your library. Find artists and albums, review recommendations, and send them to Lidarr, slskd, or playlists. Bring your own AI provider or local model. Works without Lidarr.
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2025/2026.
List of awesome apps and website for entertainment.
A curated list of technical standards, they may be called requests for comments, proposals, drafts, notes, specifications, or something else
recommender system tutorial with Python
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Java-Based Context-aware Recommendation Library
CORE is a plug-and-play conversational agent for any recommender system.
To associate your repository with the recommendations topic, visit your repo's landing page and select "manage topics."