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2018-kaggle-adtrackingfraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

awesome-cs-books-warehouse

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

coursera-deep-learning-deeplearning.ai

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

ctr_dnn_model

a model of ctr in the framework of dnn by paddlepaddle

ctr_prediction

CTR prediction using FM FFM and DeepFM

d2l-zh

《动手学深度学习》

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deepctr

This project contains several DNN models for for CTR/CVR implenmented with tf and keras

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deeprecommender

Deep learning for recommender systems

dnn_ctr

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

docs

TensorFlow documentation

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

ijcai-18-top2-single-mole-solution

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

item2vec

item2vec_tutorial

Item2vec_tutorial_git

jieba-analysis

结巴分词(java版)

kaggle-web-traffic

1st place solution

leetcode

LeetCode题解，151道题完整版

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

line

LINE: Large-scale information network embedding

metricfactorization

Implementation of Metric Factorisation for both rating prediction and item ranking

ml_cia

公众号机器学习荐货情报局所有代码

neural_collaborative_filtering

Neural Collaborative Filtering

practicalai

A practical approach to learning machine learning.

rme

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018

sciblog_support

Support content for my blog

spark-fm-parallelsgd

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)