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CRM114 for Ruby

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  Analyzed 9 days ago

Ruby interface to the CRM114 Controllable Regex Mutilator, an advanced and fast text classifier that uses sparse binary polynomial matching with a Bayesian Chain Rule evaluator and a hidden Markov model to categorize data with up to a 99.87% accuracy.

197 lines of code

0 current contributors

over 8 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Java Machine Learning Library

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  Analyzed 4 months ago

The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. These algorithms are well documented, both in the source code as on the documentation site. Besides real machine learning algorithms also a lot of supporting classes are provided: distance ... [More] measures, evaluation criteria, datasets for validation purposes and some sample code. Currently the library contains clustering algorithms, distance measures, wavelet transforms, fourier transforms, matrices, support vector machines and some other algorithms [Less]

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: GPL-2.0+

NSvm - Support Vector Machines for .NET

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  Analyzed about 1 month 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
 
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Mostly written in language not available
Licenses: LGPL

mulan

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  Analyzed about 1 month ago

We developed a package of Java classes for Multi-label classification, called Mulan. The package contain source files and compiled classes of several problem transformation methods for multilabel classification, an evaluation framework that computes several multilabel classification evaluation ... [More] measures and a statistics class providing. The software is distributed under the GNU GPL licence. The package requires Java v1.5 or better and Weka v3.5.5. [Less]

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: GPL-2.0+

Cryptolysis

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  Analyzed about 2 years ago

A Java framework for testing heuristics in breaking classifcal ciphers.

3.42K lines of code

0 current contributors

over 5 years since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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rapaio

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  Analyzed 6 days ago

statistics, data mining and machine learning toolbox written in Java

47.6K lines of code

9 current contributors

2 months since last commit

1 users on Open Hub

Low Activity
0.0
 
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graphlab.org

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  Analyzed about 10 hours ago

A framework for large-scale machine learning and graph computation. The GraphLab project started at Carnegie Mellon University in 2009 to develop a new parallel computation abstraction tailored to machine learning. GraphLab 1.0 presented our first shared memory design which, through the addition ... [More] of several matrix factorization toolkits, started to grow a community of users. In the last couple of years, we have focused our development effort on the distributed environment. In GraphLab 2.1, we completely redesign of the GraphLab 1 framework for the distributed environment. The implementation is distributed by design and a "shared-memory" execution is essentially running a distributed system on a cluster of a single machine [Less]

97.9K lines of code

0 current contributors

almost 2 years since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses

pycm

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  Analyzed about 24 hours ago

In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is ... [More] usually called a matching matrix). Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa) pycm(python confusion matrix) is a multi class confusion matrix library in python. [Less]

2.82K lines of code

3 current contributors

2 days since last commit

0 users on Open Hub

New Project
5.0
 
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file-openbsd

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  Analyzed 1 day ago

A portable version of Nicholas Marriott's privsep/sandboxed file(1) implementation from OpenBSD, using seccomp-bpf on Linux.

4.86K lines of code

1 current contributors

7 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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mining4ruby

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  No analysis available

Collection of algorithms relating to the field of Data mining. K-Mean, Id3, Apriori, Find-S to name a few.

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