There are 97 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
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.
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.
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
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
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
😎 A curated list of awesome practical Metric Learning and its applications
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
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
This repository contains some datasets that I have collected in Recommender Systems.
Pytorch implementation of BERT4Rec and Netflix VAE.
Deep Recommenders