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

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

📡 Simple and ready-to-use tutorials for TensorFlow

An Open Source Machine Learning Framework for Everyone

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

本项目记录我学习hadoop和spark等开源框架的代码，因为也是最近才用github，之前都是荒废状态，故部分都是是之前写好的，现在上传至github

Java Evaluator API for PMML

CTR prediction model based on spark(LR, GBDT, DNN)

推荐系统算法实践

Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark.

利用JPMML-Spark将Spark模型转换为pmml格式

Implementation and experiments of graph embedding algorithms.

My blogs and code for machine learning. http://cnblogs.com/pinard

📖 [译] scikit-learn（sklearn） 中文文档

A library for debugging/inspecting machine learning classifiers and explaining their predictions

📖 [译] MachineLearningMastery 博客文章

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Feature selector is a tool for dimensionality reduction of machine learning datasets

pandas, scikit-learn, xgboost and seaborn integration

FFM (Field-Awared Factorization Machine) on Spark

Tensorflow implementation of DeepFM for CTR prediction.

XGBoost on Spark for Chinese Text Classification

用户贷款风险预测

A parallel implementation of factorization machines based on Spark

Code repo for Learning Data Mining with Python, published by Packt Publishing