Rec-Models

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）

Papers on Computational Advertising

A unified, comprehensive and efficient recommendation library

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Pytorch domain library for recommendation systems

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

A TensorFlow recommendation algorithm and framework in Python.

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