Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

randomforest-matlab

Compare

  Analyzed about 1 year ago

This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests' - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by ... [More] Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package. I especially am grateful for all the help i got from Andy Liaw. This project would not have been possible if not for the previous code by Andy Liaw, Matthew Wiener, Leo Brieman, Adele Cutler. The wiki has short articles on using rfImpute to input in missing values and basic installation procedures. 1-march-2010 Bug: Note the inputs to the package are in double. So make sure you are [Less]

4.96K lines of code

0 current contributors

about 4 years since last commit

2 users on Open Hub

Activity Not Available
0.0
 
I Use This

MALLET

Compare

  Analyzed 7 months ago

MALLET (A Machine Learning for Language Toolkit) is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text

91.9K lines of code

0 current contributors

about 3 years since last commit

2 users on Open Hub

Activity Not Available
0.0
 
I Use This

Java Data Mining Package (JDMP)

Compare

  Analyzed about 2 months ago

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. clustering, regression, classification, graphical models, optimization) and provides visualization modules. It ... [More] includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave). [Less]

40.7K lines of code

0 current contributors

almost 2 years since last commit

2 users on Open Hub

Activity Not Available
0.0
 
I Use This

mlpy - Machine Learning Python

Compare

  Analyzed 8 months ago

74.7K lines of code

0 current contributors

about 5 years since last commit

1 users on Open Hub

Activity Not Available
5.0
 
I Use This
Licenses: No declared licenses

python-weka-wrapper-examples

Compare

  Analyzed 7 months ago

Example code for the python-weka-wrapper project.

2.96K lines of code

1 current contributors

7 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This

MLPACK C++ machine learning library

Compare

  Analyzed 10 months ago

MLPACK is a fast C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum ... [More] flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression, least-angle regression, etc. [Less]

127K lines of code

41 current contributors

10 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This
Licenses: No declared licenses

python-weka-wrapper

Compare

  Analyzed 7 months ago

Python wrapper for the Weka machine learning workbench using the javabridge library.

9.34K lines of code

1 current contributors

7 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This

oucware

Compare

  Analyzed about 1 year ago

Machine Learning based AntiSpam

0 lines of code

0 current contributors

almost 11 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: GPL-2.0+

mlsharp

Compare

  Analyzed about 1 year ago

ML# (ML-Sharp) is a machine learning toolkit created in C# 3.0. It is similar to the Weka library for Java, and it is able to consume some Weka functionality via interop through IKVM. ML# has numerous advantages over Weka including a cleaner API and faster run-time execution.

22.2K lines of code

0 current contributors

almost 7 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This

malas

Compare

  No analysis available

Utilize all kind of Machine Learning approach to enhance antispam techniques.   Include antispam addins for mail client, and server-side antispam softwares.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: LGPL