din

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A framework for large scale recommendation algorithms.

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

TensorFlow Script

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

An easy-to-use framework for large scale recommendation algorithms.

主流推荐系统Rank算法的实现

The DINish font.

Deep-Learning based CTR models implemented by PyTorch

Pandoc template for writing Markdown letters (DIN 5008)

基于 Pytorch 实现推荐系统相关的算法

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

DIY MIDI UART DIN USB converter

A Deep Interest Network (DIN) implementation for MIND News Recommendation with BERT semantic warm-up.

一些CTR模型和常见特征工程的方法

A easy library for recommendation system or computational advertising

List of characters and sequences of DIN 91379

[KDDCup2026] Tencent Ad-Algo Competition (Acloudysky, AUC: 0.832284)

Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型

Dataset-independent tensorflow implementation of DIN (Deep Interest Network for Click-Through Rate Prediction), appliable for any inputs.