Machine Learning Software

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Machine Learning Software

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  • Conscious Artificial Intelligence Icon

    Conscious Artificial Intelligence

    It's possible for machines to become self-aware.

    We believe that it's possible for machines to become self-aware, but may not exhibit human-like thought processes. This project is a quest for conscious artificial intelligence. We will develop prototypes while we go for our main goal. Our steps will be 1) Develop a Learning/Predictive Module. 2) Develop a Planning Module based on the learning/predictive module. 3) Develop a Plan Optimization Module so plans built in the previous module can be optimized. 4) Develop a Decision Making Engine based on previous planning. 5) Develop prototypes of the artificial creature. 6) Publish some academic papers. And there is the video: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and optimizing plans.

  • weka neural network algorithms

    This project contains weka packages of neural networks algorithms implementations like Learning Vector Quantizer (LVQ) and Self-organizing Maps (SOM). For more information about weka, please visit http://www.cs.waikato.ac.nz/~ml/weka/

    Downloads: 207 This Week Last Update: See Project
  • marsyas

    Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas

  • openModeller

    openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.

    Downloads: 29 This Week Last Update: See Project
  • Scene Icon

    Scene

    Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI runs and compiles under Windows, Linux, and MacOS X, and is available in both 32 bit and 64 bit versions.

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  • Arabic Corpus

    Text categorization, arabic language processing, language modeling

    The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on Arabic Corpora,JOURNAL OF DIGITAL INFORMATION MANAGEMENT,vol. 9, N. 5, pp.185-192. 2) For Khaleej-2004 corpus --------------------------------- M. Abbas, K. Smaili (2005) Comparison of Topic Identification Methods for Arabic Language, RANLP05 : Recent Advances in Natural Language Processing ,pp. 14-17, 21-23 september 2005, Borovets, Bulgary. More useful references to check: ------------------------------------------- https://sites.google.com/site/mouradabbas9/corpora

    Downloads: 24 This Week Last Update: See Project
  • GPLAB

    GPLAB is a Genetic Programming Toolbox for MATLAB

  • Isolation Forest

    Isolation Forest detects data-anomalies using binary trees. Platform: R (www.r-project.org) Reference: Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou, “Isolation Forest”, IEEE International Conference on Data Mining 2008 (ICDM 08)

    Downloads: 12 This Week Last Update: See Project
  • Gait-CAD (Data Mining for MATLAB)

    All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.

    Downloads: 11 This Week Last Update: See Project
  • Overhead Imagery Research Data Set

    Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms

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  • ANT Neural Tool

    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: 10 This Week Last Update: See Project
  • GeoDMA Icon

    GeoDMA

    Geographic feature extraction and data mining

    GeoDMA is a plugin for TerraView software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification.

  • Featurama

    Featurama is a library that implements various sequence-labeling algorithms. Currently Michael Collins' averaged perceptron algorithm is fully implemented.

  • Fast Compressed Neural Networks

    A C++ library for artificial neural network computations

    FCNN (Fast Compressed Neural Networks) is a free open source C++ library for artificial neural network computations. It is easy to use and extend, written in modern C++ and is very fast. All FCNN classes are templated to support both single and double precision computations. Internal representation of network in FCNN differs from all other libraries allowing true code modularisation with simultaneous speed improvements. In order to further improve the speed of computations FCNN employs BLAS and OpenMP.

    Downloads: 6 This Week Last Update: See Project
  • Mass Estimation

    This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z. 4. The four package is MassTER includes source and JAR file to be used with WEKA system..

  • Maui Topic Indexer

    Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.

    Downloads: 5 This Week Last Update: See Project
  • Qt Handwriting Recognizing

    Qt Handwriting Recognizing it's a simple Qt GUI interface of a artificial neural network to provide handwrite recognition. This project use FANN (Fast Artificial Neural Network) on first approach.

  • Spectral Python

    A python module for hyperspectral image processing

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

  • Brainstormers Public Source Code Release Icon

    Brainstormers Public Source Code Release

    The source code of the Brainstormers' RoboCup champion team 2005 has been made publicly available at the end of 2005. That source code release contains also a lot of our results in applying Reinforcement Learning in the simulated soccer domain.

  • pyIRDG Icon

    pyIRDG

    IMDb Relational Dataset Generator

    pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit the output: an availability constraint, a range constraint and a value constraint. It works with both MySQL and PostgreSQL as database backend.

  • PyPR

    PyPR - Python Pattern Recognition. A small collection of useful pattern recognition methods. The code is still in its early stages.

    Downloads: 3 This Week Last Update: See Project
  • Mars Rover Simulator

    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: 2 This Week Last Update: See Project
  • TimeSleuth - Temporal Rule Discovery

    Temporal and Causal Decision Rules

    TimeSleuth discovers temporal decision rules. It also judges the (a)causality of the rules. TimeSleuth can discover rules that involve time: {if (rainy_yesterday = true) then rainy_today = true}, or {if (rainy_tomorrow = true) then rainy_today = true}.

    Downloads: 2 This Week Last Update: See Project
  • nunn Icon

    nunn

    This is an implementation of a machine learning library in C++11

    Nunn implements an artificial intelligent framework written in modern C++11, which supports artificial networks able to learn by example and other machine learning algorithms. The project includes demo applications, which are an excellent prototype problem for neural networks learning: - mnist_test application lets you evaluate multiple net configurations on MNIST - ocr_test provides a GUI to write digits that can recognize by using MNIST trained nets - TicTacToe game - Xor-function implementation - And-perceptron sample - Hopfield test Binaries for Windows have been built by using Microsoft Visual C++ 2015, so you may need to install Visual C++ Redistributable Packages. To do this, search for "Visual C++ Redistributable Packages for Visual Studio 2015" or use the link https://www.microsoft.com/en-us/download/details.aspx?id=48145

    Downloads: 2 This Week Last Update: See Project
  • project discontinued

    project discontinued..

    Downloads: 2 This Week Last Update: See Project

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