Repositories tagged with "recommendation-engine"
recommenders
recommenders-team
โBest Practices on Recommendation Systemsโ
Bash-Snippets
alexanderepstein
โA collection of small bash scripts for heavy terminal usersโ
DeepRecommender
NVIDIA
โDeep learning for recommender systemsโ
seldon-server
SeldonIO
โMachine Learning Platform and Recommendation Engine built on Kubernetesโ
DeepRec
DeepRec-AI
โDeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.โ
torch-rechub
datawhalechina
โA Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.โ
cornac
PreferredAI
โA Comparative Framework for Multimodal Recommender Systemsโ
disco
ankane
โRecommendations for Ruby and Rails using collaborative filteringโ
ctx
stevesolun
โSkill, agent, MCP, and harness recommendations for Claude Code/custom LLMs: 102,928-node LLM-wiki graph, 91,464 skills, 467 agents, 10,790 MCPs, 207 harnesses, and capped execution recommendations.โ
RecTools
MTSWebServices
โRecTools - library to build Recommendation Systems easier and faster than ever beforeโ
neo4j-reco
graphaware
โNeo4j-based recommendation engine module with real-time and pre-computed recommendations.โ
tournesol
tournesol-app
โFree and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3โ
recdb-postgresql
DataSystemsLab
โRecDB is a recommendation engine built entirely inside PostgreSQLโ
chameleon_recsys
gabrielspmoreira
โSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systemsโ
Recommender
GHamrouni
โA C library for product recommendations/suggestions using collaborative filtering (CF)โ
Spotify-Recommendation-Engine
ucalyptus
โMusic Recommender Systemโ
Movie-Recommender-System
asif536
โBasic Movie Recommendation Web Application using user-item collaborative filtering.โ
recommender-system-tutorial
xei
โA step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.โ
