An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

This 2018 IJCAI alimama Top3 Code

6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System

对推荐广告中，序列推荐、多任务推荐、跨域推荐、冷启动等方向主要算法学习笔记。

Distributed Deep learning with Keras & Spark

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

爬取淘宝买家秀图片（福利图片 捂脸逃~）

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

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

Recommender Learning with Tensorflow2.x

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

Crack LeetCode, not only how, but also why.

Topic Modelling for Humans

Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)

DeepWalk - Deep Learning for Graphs

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

TenforFlow Implementation of Neural Factorization Machine

Factorization Machine models in PyTorch

Neural Collaborative Filtering

paper work_2017-2018(Ambient backscatter)

Best Practices on Recommendation Systems

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

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Machine learning resources，including algorithm, paper, dataset, example and so on.

Factorization machines in python

Modin: Scale your Pandas workflows by changing a single line of code

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Classic recommendation algorithms implementation

Comprehensive Python Cheatsheet