#Recommendation-system
Showing 60 of 62 repositories tagged #recommendation-system, ranked by stars
Best Practices on Recommendation Systems
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
A unified, comprehensive and efficient recommendation library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Pytorch domain library for recommendation systems
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
Minimal reproduction of OneRec
本地私有的跨平台 AI 内容发现 Agent——先深度理解你，再主动去 B站/小红书/抖音/YouTube/X/知乎/Reddit 找你会喜欢的内容。Local-first AI agent that learns who you are, then hunts content you'll love across platforms.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business 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.
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.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
key Deep Learning engineering tricks in recsys
Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, payments, and recommendations.
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
项亮的《推荐系统实践》的代码实现
RecTools - library to build Recommendation Systems easier and faster than ever before
Applying Data Science and Machine Learning to Solve Real World Business Problems
Collection of Artificial Intelligence projects.
Paper List of Pre-trained Foundation Recommender Models
Paper List for Recommend-system PreTrained Models
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
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.
Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis
recommender system tutorial with Python
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Machine learning for beginner(Data Science enthusiast)
Updating curated list of research advancements on item identification and item tokenization in generative recommender systems. The survey is titled "A Survey of Item Identifiers in Generative Recommendation: Construction, Alignment, and Generation"
The goal of this project is to recommend songs for a given playlist from Spotify. This project starts from data collection all the way to model deployment to ensure you have a working model to showcase.
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
Python操作Neo4j数据库，知识图谱，根据相似度计算的一个电影推荐的Demo
Furniture Object Detector & Recommender using Detectron2 & VGG16 (IKEA Furniture Recommender)
A github repository suggestion system
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
Session-based recommender system: Serenade
This repository contains the code for building movie recommendation engine.
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
Movie Recommendation System: Project using R and Machine learning
The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.
Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.
This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.
A Music Recommendation System Based on Sound Content
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
🐱 你的二次元赛博哈基米 | 基于 LLM 的智能化番剧管理与分析助手。支持 Bangumi 数据同步、AI 深度画像分析、年度总结海报生成与个性化推荐。
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .
Cross-platform mobile app that detects facial skin type and conditions using AI. Recommends skincare products based on skin profile and allergies. React Native frontend, Flask backend, MongoDB database, OpenCV face detection, and CNN-based diagnosis. Includes lifestyle and product suggestions.