alvis-huang Goto Github PK

ad-preditor

7th in a competition organised by ICT

algorithm

数据结构与算法

algoxy

Book of Elementary Algorithms and Data structures

alphafm

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

alvis-huang.github.io

blog

cnaddr_rec

Recognize chinese address

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-card-default

Supervised classification to predict which clients will default on their credit cards next month.

ctr_pipeline

通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线

data-structure-zoo

An educational repo for students looking to learn about data structures in python

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

entity-embedding-rossmann

fast_tffm

fast_tffm: Tensorflow-based Distributed Factorization Machine

ftrl_proximal_lr

Multithreaded Asynchronous FTRL Proximal Implementation

gbdt

genetic

A Python utility for solving problems with genetic algorithms

genetics

A python library for genetic algorithms

information_value

kaggle-2014-criteo-master

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kaggle-avito

https://www.kaggle.com/c/avito-context-ad-clicks/forums

libffm

libfm

Library for factorization machines

liblinear

lightgbm

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lightlda

Scalable, fast, and lightweight system for large-scale topic modeling

lime

Lime: Explaining the predictions of any machine learning classifier

ml

machine learning

multinomial-factorization-machines

Multinomial Factorization Machines