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bandit-nmt

banditlib

Library of contextual bandits algorithms

breeze

Breeze is a numerical processing library for Scala.

deepspark

A neural network library which trained by Spark RDD instances.

dgaclassifier

DGA domain classification algorithms.

distml

DistML provide a supplement to mllib to support model-parallel on Spark

dmtk

Microsoft Distributed Machine Learning Toolkit

ensemblesvm

A Library for Ensemble Learning Using Support Vector Machines

fregata

giraph

Mirror of Apache Giraph

incubator-carbondata

Mirror of Apache CarbonData (Incubating)

libfm

Library for factorization machines

lightgbm

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. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

marlin

A Distributed Matrix Operations Library Built on Top of Spark

megaman

megaman: Manifold Learning for Millions of Points

multiverso

Parameter server framework for distributed machine learning

programming-in-scala

ps-lite

A lightweight parameter server interface

psvm

PSVM: Parallelizing Support Vector Machines on Distributed Computers

rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

randomforests

随机森林的改进，搜狗数据集，中文分词，特征选择，随机采样，信息融合

ray

An experimental distributed execution engine

scikit-feature

oepn-source feature selection repository in python (DMML Lab@ASU)

scikit-learn

scikit-learn: machine learning in Python

spark

Mirror of Apache Spark

spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

spark-libfm

An implement of Factorization Machines (LibFM)

spark-vlbfgs

Vector-free L-BFGS implementation for Spark MLlib

sparseml

Spark MLlib code optimized to efficiently support sparse data

statsmodels

Statsmodels: statistical modeling and econometrics in Python