Showing 41 open source projects for "net-simulator"

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  • 1
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 3 This Week
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  • 2
    GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
    Downloads: 3 This Week
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  • 3
    AWS IoT Arduino Yún SDK

    AWS IoT Arduino Yún SDK

    SDK for connecting to AWS IoT from an Arduino Yún

    The AWS-IoT-Arduino-Yún-SDK allows developers to connect their Arduino Yún compatible Board to AWS IoT. By connecting the device to the AWS IoT, users can securely work with the message broker, rules and the Thing Shadow provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, etc. The AWS-IoT-Arduino-Yún-SDK consists of two parts, which take use of the resources of the two chips on Arduino Yún, one for native Arduino IDE API access and the other for...
    Downloads: 0 This Week
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  • 4
    Virtual Eyewear

    Virtual Eyewear

    An eyewear trying simulator

    Try this software and find out the eyewear style that is the most suitable for you.
    Downloads: 0 This Week
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    FENNIX

    Fast EXperimentation with Neural Networks

    FENNIX is a simulator of artificial neural networks written in Java. It allows you to easily describe a complete simulation by using a simple text script language or by adding nodes to a tree of tasks by using the graphical used interface. Moreover, FENNIX is composed of pluggable tools that can be easily modified in order to add new functionalities to the simulator.
    Downloads: 0 This Week
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  • 6
    OSXtlearn

    OSXtlearn

    OSXtlearn: tlearn for MacOSX

    tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer.
    Downloads: 0 This Week
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  • 7

    Chordalysis

    Log-linear analysis (data modelling) for high-dimensional data

    ...Associated papers at ICDM 2013, ICDM 2014 and SDM 2015 can be found at http://www.francois-petitjean.com/Research/ YourKit is supporting Chordalysis open source project with its full-featured Java Profiler. YourKit is the creator of innovative and intelligent tools for profiling Java and .NET applications. http://www.yourkit.com
    Downloads: 0 This Week
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  • 8
    Azul OS

    Azul OS

    Azul OS version dev(Linux) IA

    Azul OS version dev , est une version de Azul pour les developpeurs basé sur Linux , doté d'une IA un programme nommé Azul voice et qui est un système de reconnaissance vocale qui comprend ce que vous dites et réponds par des sensations . Azul Dev est une distribution linux , qui comporte des outils et des lib pour les developpeurs avec une Interface Gnome # Azul voice système sensation . Windows & linux. En cours .. # Azul voice version windows Azul interface . Disponible # Azul dev...
    Downloads: 0 This Week
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  • 9
    Swarm Wars

    Swarm Wars

    Safety in numbers.

    ...They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding.
    Downloads: 0 This Week
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  • 10
    CRFSharp

    CRFSharp

    CRFSharp is a .NET(C#) implementation of Conditional Random Field

    CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo.
    Downloads: 1 This Week
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  • 11
    Octave program which trains artificial neural networks to play backgammon through self-play.
    Downloads: 0 This Week
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  • 12
    The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
    Downloads: 0 This Week
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  • 13
    Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.
    Downloads: 0 This Week
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  • 14
    .NET library for embedding CLIPS in to .NET applications.
    Downloads: 0 This Week
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  • 15
    ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
    Downloads: 0 This Week
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  • 16
    SmartMap

    SmartMap

    SmartMap is an easy desktop random world creator.

    SmartMap (C# cross-platform) is a procedural style world-map creation utility or "Desktop World." A simple scene manager is included using plugin style building blocks and object pathfinding. Also included is a 2D world editor with graphical features. SmartMap is currently built in conjunction with the Axiom 3D rendering engine.
    Downloads: 0 This Week
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