#Recommender-system
Showing 60 of 104 repositories tagged #recommender-system, ranked by stars
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
RSTutorials: A Curated List of Must-read Papers on Recommender System.
A Python implementation of LightFM, a hybrid recommendation algorithm.
Papers on Computational Advertising
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Classic papers and resources on recommendation
Accelerated deep learning R&D
Deep recommender models using PyTorch.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A Deep Learning Recommender System
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Pytorch domain library for recommendation systems
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Recommender Learning with Tensorflow2.x
Neural Collaborative Filtering
Minimal reproduction of OneRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Machine Learning Platform and Recommendation Engine built on Kubernetes
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
SASRec: Self-Attentive Sequential Recommendation
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
A Configurable Recommender Systems Simulation Platform
Large Language Model-enhanced Recommender System Papers
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, payments, and recommendations.
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Music recommender using deep learning with Keras and TensorFlow
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
项亮的《推荐系统实践》的代码实现
Versatile End-to-End Recommender System
Behavioral "black-box" testing for recommender systems
A recommender system for GitHub repositories based on Gorse provides personalized recommendations and similar repositories
RecTools - library to build Recommendation Systems easier and faster than ever before
Deep Learning Computer Vision Algorithms for Real-World Use
High performance distributed framework for training deep learning recommendation models based on PyTorch.
An easy-to-use framework for large scale recommendation algorithms.
Paper List of Pre-trained Foundation Recommender Models
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Paper List for Recommend-system PreTrained Models
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
recommender system tutorial with Python