There are 112 repositories under recommendation-system topic.
Best Practices on Recommendation Systems
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)
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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.
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.
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
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.
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
深度学习在推荐系统中的应用及论文小结。
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.
Reinforced Recommendation toolkit built around pytorch 1.7
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
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
😎 A curated list of awesome practical Metric Learning and its applications
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Applying Data Science and Machine Learning to Solve Real World Business Problems
Book recommender system using collaborative filtering based on Spark
RecDB is a recommendation engine built entirely inside PostgreSQL
Pytorch implementation of BERT4Rec and Netflix VAE.
This repository contains some datasets that I have collected in Recommender Systems.
Collection of Artificial Intelligence projects.