http://blog.csdn.net/lovewinder/article/details/42009353
1. vowpal_wabbit ,https://github.com/JohnLangford/vowpal_wabbit
A fast Machine Learning Algorithm
2. Xgboost (eXtreme Gradient Boosting )https://github.com/tqchen/xgboost
An optimized general purpose gradient boosting library. The library is parallelized using OpenMP. It implements machine learning algorithm under gradient boosting framework, including generalized linear model and gradient boosted regression tree.
3. LibFM(Factorization machines)https://github.com/srendle/libfm
Factorization machines (FM) are a generic approach that allows to mimic(模拟) most factorization models by feature engineering. This way, factorization machines combine the generality of feature engineering with the superiority of factorization models in estimating interactions between categorical variables of large domain. libFM is a software implementation for factorization machines that features stochastic gradient descent (SGD) and alternating least squares (ALS) optimization as well as Bayesian inference using Markov Chain Monte Carlo (MCMC).
4. LibSVMhttps://github.com/cjlin1/libsvm
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool forC-SVM classification.
5. scikit-learnhttp://scikit-learn.org
python工具
