📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

Best Practices on Recommendation Systems

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

A Lightweight Recommendation System

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

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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.

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

Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.

A Comparative Framework for Multimodal Recommender Systems

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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

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.

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

精选了10K+项目，包括机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉、前后端开发等内容。Selected more than 10k+ projects, including machine learning, deep learning, NLP, GNN, recommendation system, biomedicine, machine vision, etc. Let more excellent projects be discovered by people. Continue to update! Welcome to star!

Tensorflow-based Recommendation systems

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.

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.