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Encog Machine Learning Framework

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  Analyzed about 12 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]

380K lines of code

1 current contributors

about 5 years since last commit

19 users on Open Hub

Inactive
5.0
 
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nengo

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  Analyzed 1 day 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.

28.1K lines of code

6 current contributors

4 months since last commit

2 users on Open Hub

Very Low Activity
0.0
 
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Java Data Mining Package (JDMP)

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  Analyzed about 22 hours 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 8 years since last commit

2 users on Open Hub

Inactive
0.0
 
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FAKE GAME

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  Analyzed 2 days 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 14 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

Apache Yay

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  Analyzed 1 day ago

Java library for creating neural networks

2.38K lines of code

0 current contributors

about 7 years since last commit

1 users on Open Hub

Inactive
0.0
 
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eANN

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  Analyzed about 2 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

about 5 years since last commit

1 users on Open Hub

Inactive
0.0
 
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WEKA Classification Algorithms

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  No analysis available

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

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: No declared licenses

Feed-forward neural network for python

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  Analyzed 1 day ago

ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code.

8.86K lines of code

0 current contributors

about 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

NeuralChase

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  Analyzed about 13 hours ago

Example of using Neural networks to implement chase between mouses and cats. Mouses search for cheese on map, while cats are chasing mouses. Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.

16K lines of code

0 current contributors

over 14 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

NeuroCrypto

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  Analyzed 1 day ago

This is a C++ implementation of the concept of Neural Cryptography, which is a communication of two tree parity machines for agreement on a common key over a public channel. This exchanged public key is utilized to encrypt a sensitive message to be transmitted over an insecure channel using Rijndael ... [More] cipher. This is a new potential source for public key cryptography schemes which are not based on number theoretic functions, and have small time and memory complexities. This is a proof-of-concept demo of how such a neural key exchange protocol in conjugation with AES encryption can be implemented in C++, which could be further extended in higher-level applications. Both CLI and GUI implementations of the software were created using Visual C++ (.NET framework). [Less]

1.27K lines of code

0 current contributors

almost 13 years since last commit

0 users on Open Hub

Inactive
0.0
 
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