Pinned Repositories
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
lime
Lime: Explaining the predictions of any machine learning classifier
nyc-taxi-data
Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
xgb_study
xgb base version
alvis-huang's Repositories
alvis-huang/lime
Lime: Explaining the predictions of any machine learning classifier
alvis-huang/xgb_study
xgb base version
alvis-huang/algorithm
数据结构与算法
alvis-huang/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
alvis-huang/alvis-huang.github.io
blog
alvis-huang/Credit-Card-Default
Supervised classification to predict which clients will default on their credit cards next month.
alvis-huang/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
alvis-huang/deep-ctr
An attempt of training DNN models to predict ad click-through rate, implemented with Theano.
alvis-huang/eeap-examples
Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
alvis-huang/entity-embedding-rossmann
alvis-huang/fast_tffm
fast_tffm: Tensorflow-based Distributed Factorization Machine
alvis-huang/ftrl_proximal_lr
Multithreaded Asynchronous FTRL Proximal Implementation
alvis-huang/GBDT
alvis-huang/genetic
A Python utility for solving problems with genetic algorithms
alvis-huang/kaggle-2014-criteo-master
alvis-huang/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.
alvis-huang/LightLDA
Scalable, fast, and lightweight system for large-scale topic modeling
alvis-huang/ML
machine learning
alvis-huang/multinomial-factorization-machines
Multinomial Factorization Machines
alvis-huang/OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
alvis-huang/Predictive-Analytics-of-Credit-Card-Defaulters
Built ML models on 10 Million credit card payment data and compared the predictive accuracy of probability of default among different data mining methods.
alvis-huang/python-data-science-exercise
Classifier that can predict if a new customer will likely default on his credit card payment.
alvis-huang/PyWoE
alvis-huang/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
alvis-huang/tensorflow
Computation using data flow graphs for scalable machine learning
alvis-huang/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
alvis-huang/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
alvis-huang/xgbfir
XGBoost Feature Interactions Reshaped
alvis-huang/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
alvis-huang/zhihu
知乎专栏源码