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Accord.NET Framework

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  Analyzed about 24 hours 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

about 4 years since last commit

20 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C#
Licenses: lgpl21_or...
Tags artificialintelligence c# computervision csharp dotnet framework gaussianmixturemodel gmm hmm imageprocessing kernels kmeans 8 more...

pgmpy

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  Analyzed 1 day ago

Python Library for Probabilistic Graphical Models

42.6K lines of code

13 current contributors

3 days since last commit

1 users on Open Hub

Moderate Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags bayesiannetworks inference markovmodels probabilisticanalysis probability probabilitydistribution sampling

WinASSIST

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Claimed by NASA Analyzed about 18 hours ago

The WinASSIST program uses a rule-oriented language to automatically generate input files for the SURE/WinSURE program. The user describes the failure behavior and recovery behavior of a fault-tolerant computer system in an abstract language. The WinASSIST program then automatically generates a ... [More] corresponding semi-Markov model. The abstract language allows efficient description of large, complex systems. A one-page WinASSIST-language description may result in a semi-Markov model with thousands of states and transitions. The WinASSIST program also provides model-reduction techniques to facilitate efficient modeling of large systems. [Less]

541K lines of code

0 current contributors

almost 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in AMPL
Licenses: No declared licenses
Tags abstract behavior failure language markov markovmodels model recovery rules sure

WinSURE

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Claimed by NASA Analyzed 3 days ago

WinSURE is a reliability analysis program used for calculating upper and lower bounds on for the operational and death state probabilities for a large class of semi-Markov models. The program is especially suited for the analysis of fault-tolerant reconfigurable systems. The calculated bounds are ... [More] close enough (usually within 5 percent of each other) for use in reliability studies of ultra-reliable computer systems. The SURE bounding theorems have algebraic solutions and are consequently computationally efficient even for large and complex systems. SURE can optionally regard a specified parameter as a variable over a range of values, enabling an automatic sensitivity analysis. The WinSURE program is written in Java and has been tested on Linux, Mac, and Windows operating systems. [Less]

330K lines of code

0 current contributors

almost 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Postscript
Licenses: No declared licenses
Tags analysis java linux mac macosx markov markovmodels probabilities reliability sure windows