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scikit-learn

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  Analyzed about 6 hours 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]

149K lines of code

331 current contributors

about 23 hours since last commit

74 users on Open Hub

Very High Activity
5.0
 
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Accord.NET Framework

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  Analyzed about 10 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]

2.27M lines of code

13 current contributors

10 days since last commit

16 users on Open Hub

Moderate Activity
5.0
 
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SHOGUN

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  Analyzed about 13 hours 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]

274K lines of code

21 current contributors

4 days since last commit

11 users on Open Hub

High Activity
5.0
 
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PyBrain

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  Analyzed 42 minutes ago

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning ... [More] , Artificial Intelligence and Neural Network Library. It's the Swiss army knife for machine learning and neural networking. [Less]

36K lines of code

0 current contributors

over 1 year since last commit

6 users on Open Hub

Very Low Activity
5.0
 
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corpusevaluator

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  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
 
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Mostly written in language not available
Licenses: gpl3_or_l...