recsys
There are 210 repositories under recsys topic.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
CHIANGEL/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
facebookresearch/generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
lenskit/lenskit
LensKit recommender toolkit.
kennethleungty/Failed-ML
Compilation of high-profile real-world examples of failed machine learning projects
datawhalechina/torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
chihming/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
amitkaps/recommendation
Recommendation System using ML and DL
MobileTeleSystems/RecTools
RecTools - library to build Recommendation Systems easier and faster than ever before
sb-ai-lab/RePlay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
MaurizioFD/RecSys_Course_AT_PoliMi
⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.
otto-de/recsys-dataset
🛍 A real-world e-commerce dataset for session-based recommender systems research.
lenskit/lkpy
Python recommendation toolkit
NVIDIA-Merlin/models
Merlin Models is a collection of deep learning recommender system model reference implementations
AstraZeneca/rexmex
A general purpose recommender metrics library for fair evaluation.
fidelity/mabwiser
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
jacopotagliabue/recs-at-resonable-scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
anamarina/RecSys_course
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2024/2025.
sisinflab/adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
fidelity/mab2rec
[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
recommenders/rival
RiVal recommender system evaluation toolkit
yoongi0428/RecSys_PyTorch
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
creyesp/Awesome-recsys
Curated list of recommnedation system topics
singmiya/recsys
推荐系统学习资料、源码、及读书笔记
arpita8/Awesome-Mixture-of-Experts-Papers
Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.
skywaLKer518/A-Recsys
A Tensorflow based implicit recommender system
boostcampaitech4lv23recsys1/final-project-level3-recsys-01
🍁 AI를 활용한 메이플스토리 코디 추천 서비스👚👕
otto-de/TRON
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
sberbank-ai-lab/RePlay
RecSys Library
hojinYang/spotify_recSys_challenge_2018
2018 Spotify ACM RecSys Challenge 2'nd Place Solution
chenxingqiang/DNN-YouTube-RecSys
This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to include the core Python implementation of the model and a Spark-based Scala solution for data generation and model serving.
FlinkML/flink-parameter-server
Parameter Server implementation in Apache Flink
marlesson/recsys_autoencoders
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
geangohn/recsys-tutorial
Tutorials and examples of various recommender systems in industrial applications
bailuding/rails
Retrieval with Learned Similarities (http://arxiv.org/abs/2407.15462, WWW'25 Oral)