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。

All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Tensorflow implementation of DeepFM for CTR prediction.

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Apache Spark 官方文档中文版

pyspark🍒🥭 is delicious，just eat it!😋😋

Pandas中文文档，欢迎贡献！

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

公众号: 机器学习荐货情报局 所有代码

The guide to tackle with the Text Summarization

⏰ AI conference deadline countdowns

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

Deep Match to Rank Model for Personalized Click-Through Rate Prediction

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

DHAN code for SIGIR 2020

TensorFlow implementation of "Pointer Networks"

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation