Tags : Browse Projects

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

scikit-learn

Compare

  Analyzed 7 days ago

scikit-learn is a Python module integrating various machine learning algorithms under a common interface. It offers a wide range of methods such as Support Vector Machines, linear models (L1, L2 penalized), logistic regression, gaussian mixture models and more. The large number of algorithms aleady ... [More] implemented allows for easy comparison of accuracy and performance of various algorithms. [Less]

176K lines of code

398 current contributors

7 days since last commit

78 users on Open Hub

Very High Activity
5.0
 
I Use This

Accord.NET Framework

Compare

  Analyzed 3 days ago

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications. A comprehensive set ... [More] of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details. [Less]

2.2M lines of code

15 current contributors

2 months since last commit

19 users on Open Hub

Low Activity
5.0
 
I Use This

SHOGUN

Compare

  Analyzed 2 days ago

The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. ... [More] SHOGUN also implements a number of linear methods. It allows the input feature-objects to be dense, sparse or strings and of type int/short/double/char. It provides efficient implementations several kernels but also linear methods, hidden markov models etc. and interfaces to matlab,octave,python,R and has a cmdline interface and allows C++ extensions via a library. [Less]

271K lines of code

24 current contributors

about 2 months since last commit

11 users on Open Hub

Moderate Activity
5.0
 
I Use This

clandmark

Compare

  Analyzed 6 days ago

Open Source Landmarking Library

101K lines of code

1 current contributors

over 1 year since last commit

1 users on Open Hub

Very Low Activity
0.0
 
I Use This

mlpy - Machine Learning Python

Compare

  Analyzed about 10 hours ago

75.8K lines of code

0 current contributors

almost 9 years since last commit

1 users on Open Hub

Inactive
5.0
 
I Use This
Licenses: No declared licenses

PPI Benchmark

Compare

  Analyzed about 1 year ago

A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature.

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This
Mostly written in language not available
Licenses: No declared licenses

flandmark

Compare

  Analyzed about 6 hours ago

Open-source implementation of facial landmark detector

51K lines of code

0 current contributors

over 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This

NSvm - Support Vector Machines for .NET

Compare

  Analyzed about 1 year ago

NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: lgpl

corpusevaluator

Compare

  No analysis available

Coeval is a free Corpus Evaluation software written in Java.It allows you to create, manage and customize your own corpus of documents. Coeval can be used to train classifiers, evaluate performance and cross-compare classifiers on the same corpus. A Support Vector Machine classifier (LIBSVM -- ... [More] A Library for Support Vector Machines) is provided with this release and it also allows you easily add and test out your classifiers. RequirementsApache Tomcat 6.x MySQL 5.1 Java EE 5 Eclipse 3.x Instructionsopen mysql command line, type and execute "source COEVAL_HOME/db/dump.sql" edit COEVAL_HOME/WEB-INF/mysql.properties with your mysql account data edit COEVAL_HOME/localhost.properties with your Apache Tomcat account data load with ant "build.xml" and deploy Coeval Contact MePlease feel free to contact me if you have any questions or comments. [Less]

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: gpl3_or_l...

svm-app

Compare

  No analysis available

利用libsvm的python绑定编写的一个小程序,这个程序根据美国1994年人口普查的数据来预测一个人的年收入是否超过50k美元。

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: gpl
Tags svm