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Encog Machine Learning Framework

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  Analyzed 2 days ago

Encog is an advanced neural network and machine learning framework for Java, C# and C/C++. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog ... [More] can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks. Encog has been in active development since 2008. [Less]

381K lines of code

5 current contributors

6 months since last commit

19 users on Open Hub

Low Activity
5.0
 
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Java Data Mining Package (JDMP)

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  Analyzed 4 days ago

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. clustering, regression, classification, graphical models, optimization) and provides visualization modules. It ... [More] includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave). [Less]

40.7K lines of code

0 current contributors

over 2 years since last commit

2 users on Open Hub

Inactive
0.0
 
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dANN

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  Analyzed almost 2 years ago

The dANN project is a library to help facilitate artificial neural networks within other applications. It is currently written in Java, C++, and C#. However only the java version is currently in active development. If you want to obtain a version other than the java version you will need to get it ... [More] directly from GIT. Our intentions are two fold. First, to provide a powerful interface for programs to include conventional artificial neural network technology into their code. Second, To act as a testing ground for research and development of new AI concepts. We provide new AI technology we have developed, and the latest algorithms already on the market. In the spirit of modular programming the library also provides access to the primitive components giving you greater control. [Less]

8.32K lines of code

1 current contributors

over 2 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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KNNL

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  Analyzed over 1 year ago

C++ Kohonen Neural Network Library (Self-Organizing Map) Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).

3.4K lines of code

1 current contributors

about 2 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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nengo

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  Analyzed 3 days ago

Nengo is a suite for building and simulating models of large neural networks. It is based on Eliasmith & Anderson's Neural Engineering Framework, which provides a coherent theory of computation, representation, and dynamics in neural circuits.

20.6K lines of code

10 current contributors

over 1 year since last commit

2 users on Open Hub

Moderate Activity
0.0
 
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FAKE GAME

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  Analyzed 11 months ago

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

0 lines of code

0 current contributors

over 8 years since last commit

2 users on Open Hub

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

Neural Network Framework

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  Analyzed over 3 years ago

The NNFW project is a set of C++ classes for creating an huge variety of neural networks. The framework is structured in different levels in order to provides various interfaces for quick-easy utilization and deeply-expert utilization, from newbie to masters: 1. at low-level it's possibile to act ... [More] completly free for building complex architecture; from this level expert-users can contribute to NNFW adding new functionalities; 2. at mid-level there are classes for quick-creation of common neural networks as multilayer feedforward, Elmann networks, Radial-basis network and so on; 3. the possibility to represent a neural network with XML files allow an abstract and general way for accessing to all functionality of NNFW, also to the contribution of expert users; [Less]

11.3K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Neural Dream

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  Analyzed over 1 year ago

Neural Networking Library set. In near future developing common framework planed. Now, we galvinize our old atempts, experimental results and source codes.

4.79K lines of code

1 current contributors

about 10 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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eANN

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  Analyzed 5 days ago

eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code. It is possible to have several different sized networks running simultaneously, each functioning independently of the others or ... [More] acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network. Networks Implemented: * Multi Layer Neural Network with Backpropagation * Competitive Neural Network * Radial Basis Neural Network * Progressive Radial Neural Network * Progressive Learning Neural Network [Less]

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: GPL-3.0

WEKA Classification Algorithms

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  Analyzed over 1 year ago

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms.

13.6K lines of code

0 current contributors

almost 7 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses