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Encog Machine Learning Framework

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  Analyzed about 2 hours 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]

337K lines of code

1 current contributors

7 months since last commit

19 users on Open Hub

Very Low Activity
5.0
 
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Computational Intelligence Library

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  Analyzed over 4 years ago

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics.

85.1K lines of code

11 current contributors

almost 5 years since last commit

2 users on Open Hub

Activity Not Available
4.5
   
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Licenses: No declared licenses

dANN

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  Analyzed about 3 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

about 4 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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CVWS.NET

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  Analyzed about 12 hours ago

A Computer Vision Word search Solver written in C#

12.9K lines of code

0 current contributors

over 2 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

libdeep

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  Analyzed 2 months ago

This is a C library which can be used in deep learning applications. What differentiates libdeep from the numerous other deep learning systems out there is that it's small and that trained networks can be exported as completely standalone C or Python programs which can either be used via the ... [More] commandline or within an Arduino IDE for creating robotics or IoT applications. A Python API for libdeep is also available. [Less]

15.6K lines of code

1 current contributors

about 1 year since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Neural Network Framework

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  Analyzed 8 days 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]

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

eANN

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  Analyzed about 5 hours 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]

17.5K lines of code

1 current contributors

6 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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Neural Dream

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  Analyzed 10 days ago

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

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

lissom

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  Analyzed 9 days ago

LISSOM (http://homepages.inf.ed.ac.uk/jbednar/rflissom_small.html) is a model of human neocortex (mainly modeled on visual cortex) at a neural column level. The model was developed by Bednar, Choe, Miikkulainen, and Sirosh, at the University of Texas. I made different implementations of the model ... [More] (with the help of Prof. Bednar), with the aim of porting it to GPU hardware using CUDA by nVidia. Now the library can run up to 9x faster than on modern CPUs. The project also involves usage of multiGPU systems and GPU clusters, to overcome the two big problems we face: -lack of memory to store the network; -computing power to simulate the model. Presentation of the project [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: gpl

facetron

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  No analysis available

Un sistema de reconocimiento facial. Captura de la imagen, preprocesamiento, eigenfaces, redes neuronales artificiales, etc. Algunas bibliotecas que se utilizarán: CImg para el preprocesamiento de imágenes, wxWidgets para la interfaz gráfica de usuario, V4L y el driver de webcams GSPCA/SPCA5xx ... [More] para la captura de imágenes en Linux, VfW para la captura de imágenes en Windows. [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: bsd