recommendation-system

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

本地私有、开源的自进化跨平台 AI 内容发现 Agent：先理解你，再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。（支持 deepseek harness 插件） | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.（support deepseek harness plugin）

Pytorch domain library for recommendation systems

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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

A TensorFlow recommendation algorithm and framework in Python.

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems

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.

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

A Comparative Framework for Multimodal Recommender Systems

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial