Best Practices on Recommendation Systems

深度しんど学がく习面试宝典ほうてん（含数学がく、机つくえ器き学がく习、深度しんど学がく习、计算机つくえ视觉、自然しぜん语言处理和わSLAM等とう方向ほうこう）

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A unified, comprehensive and efficient recommendation library

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

计算广告/推荐系けい统/机つくえ器き学がく习(Machine Learning)/点てん击率(CTR)/转化率りつ(CVR)预估/点てん击率预估

Pytorch domain library for recommendation systems

A TensorFlow recommendation algorithm and framework in Python.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

推荐/广告/搜索そうさく领域工こう业界经典以及最前さいぜん沿论文ぶん集合しゅうごう。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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、广告工こう业界经典以及最前さいぜん沿的论文、资料集合しゅうごう/ 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.

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

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

深度しんど学がく习在推荐系けい统中的てき应用及论文ぶん小しょう结。

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.