Tags : Browse Projects

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g-Eclipse

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  No analysis available

g-Eclipse is a framework that allows users and developers to access Computing Grids and Cloud Computing resources in a unified way. The framework itself is independent from a certain Grid middleware or Cloud Computing provider. The g-Eclipse project maintains a set of connectors to Grid ... [More] middlewares and provides an adapter to the Amazon webservices EC2 and S3. [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: eclipse

ClusterIt

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  Analyzed about 7 hours ago

ClusterIt is a collection of clustering tools to allow simple administration of groups of UNIX machines. It can also be used to facilitate parallel shell scripting, and compiling.

27.4K lines of code

0 current contributors

about 16 years since last commit

1 users on Open Hub

Inactive
5.0
 
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dhclus

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  Analyzed 3 months ago

Divisive hierarchical clustering algorithm with automatic determination of components.

91.7K lines of code

0 current contributors

almost 10 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses

redisson

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  Analyzed about 15 hours ago

Redisson - distributed and scalable Java data structures (Set, Map, ConcurrentMap, List, Queue, Lock, AtomicLong, CountDownLatch, Publish / Subscribe) on top of Redis server. Advanced Redis client

290K lines of code

23 current contributors

1 day since last commit

1 users on Open Hub

Very High Activity
5.0
 
I Use This

pyClusterROI

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  Analyzed about 7 hours ago

Python script to perform the spatially constrained parcellation of funcitonal MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012

767 lines of code

0 current contributors

over 9 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses

MLPACK C++ machine learning library

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  Analyzed 5 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]

276K lines of code

71 current contributors

5 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses

python-weka-wrapper

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  Analyzed 1 day ago

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

9.9K lines of code

1 current contributors

over 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
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ai4r

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  Analyzed about 5 hours ago

AI4R is a collection of ruby algorithm implementations, covering several Artificial intelligence fields, and simple practical examples using them. A Ruby playground for AI researchers.

6.06K lines of code

0 current contributors

about 6 years since last commit

1 users on Open Hub

Inactive
5.0
 
I Use This

python-weka-wrapper-examples

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  Analyzed 31 minutes ago

Example code for the python-weka-wrapper project.

3.1K lines of code

1 current contributors

about 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
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hpc-collab

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Claimed by Los Alamos National Lab Analyzed about 3 hours ago

This project provides provisioned HPC cluster models using underlying virtualization mechanisms.

24.9K lines of code

0 current contributors

over 2 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This