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Best Practices on Recommendation Systems
Updated
Nov 14, 2022
Python
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)
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Updated
Oct 4, 2022
Python
A unified, comprehensive and efficient recommendation library
Updated
Nov 14, 2022
Python
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
A TensorFlow recommendation algorithm and framework in Python.
Updated
Mar 11, 2022
Python
Pytorch domain library for recommendation systems
Updated
Nov 16, 2022
Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Updated
Jun 1, 2022
Python
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.
Updated
Oct 19, 2022
Python
Updated
Jun 16, 2022
Jupyter Notebook
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.
Updated
Nov 16, 2022
Python
Updated
Oct 5, 2020
Jupyter Notebook
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
A Comparative Framework for Multimodal Recommender Systems
Updated
Oct 18, 2022
Python
An index of recommendation algorithms that are based on Graph Neural Networks.
Reinforced Recommendation toolkit built around pytorch 1.7
Updated
Dec 8, 2020
Python
Updated
Oct 30, 2020
Jupyter Notebook
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Updated
Nov 25, 2021
Python
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Updated
Jul 9, 2021
Jupyter Notebook
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