Machine Learning Software

OS OS

    • More...
  • More...

Category Category

    • More...

License License

    • More...

Translations Translations

  • More...

Programming Language Programming Language

  • More...

Status Status

  • More...

Audience Audience

    • More...
    • More...

User Interface User Interface

  • More...

Freshness Freshness

Machine Learning Software

  • Focus on your Business with an integrated Business Cloud Focus on your Business with an integrated Business Cloud Icon
    Focus on your Business with an integrated Business Cloud Icon

    Reliable & Secure Business Phone Systems

    • No contracts, no cancellation fees, over 40 features
    • 99.999% financially backed uptime SLA
    • Free, expert support, certified by J.D. Power
  • Infrastructure and application monitoring for Azure Infrastructure and application monitoring for Azure Icon
    Infrastructure and application monitoring for Azure Icon

    Monitor your Azure® infrastructure, application, and systems performance side by side in a single enterprise-monitoring tool

    So, you moved your applications and servers to Azure, but are they running any better and are you able to justify the investment? Without proper monitoring, you’re left guessing if application and server performance has improved, and when issues arise, you’re left scrambling to locate the root cause. SolarWinds® Server & Application Monitor (SAM) can monitor your Azure workloads side by side with your on-premises workloads to help ensure optimal application performance.
  • dlib C++ Library Icon

    dlib C++ Library

    Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

  • QSMM Icon

    QSMM

    A framework for the development of intelligent systems.

    QSMM, a recursive acronym for "QSMM State Machine Model", is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite automatons is adaptive probabilistic mapping, which for an argument from its domain returns more often results that maximize or minimize values of one or more objective functions. Finite automatons can be represented by assembler programs with user-defined instructions that perform effective work. To assist in the learning of a finite automaton, a template for its state model can be provided as an assembler program with probabilistic jump instructions. The operating principle behind the framework resembles the Boltzmann machine.

  • SD_EXPERT

    This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.

    Downloads: 3 This Week Last Update: See Project
  • 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.

  • Armadillo C++ matrix library Icon

    Armadillo C++ matrix library

    Fast C++ matrix library with easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques. Also provides efficient wrappers for LAPACK, BLAS and ATLAS libraries, including high-performance versions such as OpenBLAS and Intel MKL. Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. For more details, see http://arma.sourceforge.net

  • Reduce Support Costs with TeamSupport’s B2B helpdesk Reduce Support Costs with TeamSupport’s B2B helpdesk Icon
    Reduce Support Costs with TeamSupport’s B2B helpdesk Icon

    Improve customer satisfaction with powerful and easy to use helpdesk software built specifically for business to business customer support.

    We do what you do – business software – so we get it. Customer support is critical to any business and as a B2B provider you not only need to manage contacts and tickets, you need to understand your business relationships at a customer level. TeamSupport is the only helpdesk software built for B2B and made to scale with you as you grow.
    • Easy to Use and Fully Customizable to Your Business
    • Relational Customer Database and Best in Class SLAs
  • 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: 5 This Week Last Update: See Project
  • SMILI Icon

    SMILI

    Scientific Visualisation Made Easy

    The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.

    Downloads: 9 This Week Last Update: See Project
  • Uranie Icon

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python.

    Downloads: 6 This Week Last Update: See Project
  • Chronological Cohesive Units

    The experimental source code for the paper

    The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming"

    Downloads: 0 This Week Last Update: See Project
  • Genetic Oversampling Weka Plugin Icon

    Genetic Oversampling Weka Plugin

    A Weka Plugin that uses a Genetic Algorithm for Data Oversampling

    Weka genetic algorithm filter plugin to generate synthetic instances. This Weka Plugin implementation uses a Genetic Algorithm to create new synthetic instances to solve the imbalanced dataset problem. See my master thesis available for download, for further details.

  • Identify and respond to threats before damage is done Identify and respond to threats before damage is done Icon
    Identify and respond to threats before damage is done Icon

    A SIEM that makes it easy to use logs for security, compliance, and troubleshooting.

    SolarWinds® Log & Event Manager (LEM) delivers comprehensive Security Information and Event Management (SIEM) capabilities in a highly affordable, easy-to-use, and quick-to-deploy virtual appliance. LEM provides the visibility, security, and control that IT professionals need to alert on and respond to security threats, and assist in meeting the regulatory compliance guidelines of HIPAA, PCI DSS, SOX, and more. Try it free for 30 days!
  • Accord.NET Framework Icon

    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.

  • Speech Recognition SkryBot in Polish  Icon

    Speech Recognition SkryBot in Polish

    speech recognition software for Polish language

    Software for speech recognition in Polish language. Large vocabulary continuous speech recognition (LVCSR) and Commands. SkryBot recognises speech in Polish language and changes it into text by using: 1.microphone, 2.sound files (turned off in demo version). SkryBot recognises dictated speech and converts it into text. This means, that if you speak to the microphone or you use earlier recorded sound file, SkryBot will change it into text. SkryBot offers you: 1. audio conversion and cutting sound files into smaller ones, 2. searching for words or phrases in sound files (recognised by SkryBot), 3. editing sound files and automatic cutting off long silence parts in the recording, 4. improving accuracy of recognition. Versions of SkryBot: 1. SkryBot Prawo - for courts, lawyers, police, 2. SkryBot Administracyjny - for civil and government administration, 3. SkryBot Medycyna Rodzinna - for doctors, hospitals. https://sourceforge.net/p/skrybotdomowy/wiki/Home

  • libfastknn Icon

    libfastknn

    Fast C++ KNN classifier

    KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.

    Downloads: 1 This Week Last Update: See Project
  • coot

    Bandicoot C++ GPU library

    experimental C++ library for GPU based linear algebra

    Downloads: 0 This Week Last Update: See Project
  • PADIC

    A multilingual Parallel Arabic DIalectal Corpus

    PADIC (Parallel Arabic DIalectal Corpus) is a multi-dialectal corpus built in the framework of the National Research Project "TORJMAN", led by Scientific and Technical Research Center for the Development of Arabic Language and funded by the Algerian Ministry of Higher Education and Scientific Research. PADIC is composed of 6 dialects: two Algerian dialects (Algiers and Annaba cities), Palestinian, Syrian, Tunisian, Moroccan) and MSA. Mourad Abbas Computational Linguistics Department, crstdla https://sites.google.com/site/mouradabbas9 Publications ----------------- S. Harrat, K. Meftouh, M. Abbas, K. Smaili. Building Resources for Algerian Arabic Dialects, INTERSPEECH 2014, S. Harrat, M. Abbas, K. Meftouh, K. Smaili. Diacritics restoration for Arabic dialect texts. INTERSPEECH 2013, France. TORJMAN website: ------------------------- https://sites.google.com/site/torjmanepnr/6-corpus

    Downloads: 0 This Week Last Update: See Project
  • Bandicoot C++ GPU library

    experimental C++ library for GPU based linear algebra

    Downloads: 0 This Week Last Update: See Project
  • neural network designer Icon

    neural network designer

    a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...

    This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you are able to create different types of decision trees, random forests, n-grams, pattern-matchers, conversational agents and all sorts of AI related algorithms. You can combine statistical approaches as well as pattern matchers or others. Do natural language processing, image or data analysis & interpretation,...

    Downloads: 12 This Week Last Update: See Project
  • MLPACK C++ machine learning library

    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. For more information, see http://mlpack.org

    Downloads: 0 This Week Last Update: See Project
  • Flamingo Project Icon

    Flamingo Project

    Workflow Designer, Hive Editor, Pig Editor, File System Browser

    Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce.

  • CURRENNT

    CUDA-enabled machine learning library for recurrent neural networks

    CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory.

  • Vision Magic

    Acquire and manipulate images from a camera in real-time

    An application that allows you to acquire images from a camera and process this image in real-time. This should enable tracking, classifying, measuring and masking objects and areas of interest in an image. This application should in the future allow monitoring areas and triggering actions based on certain events.

    Downloads: 0 This Week Last Update: See Project
  • Automatic cell lineage reconstruction

    Automatic segmentation and tracking for 3D time-lapse microscopy

    From Amat et al., Nature Methods, 2014*: "The comprehensive reconstruction of cell lineages in complex multicellular organisms is a central goal of developmental biology. We present an open-source computational framework for segmentation and tracking of cell nuclei with high accuracy and speed. We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0% linkage accuracy across all species and imaging modalities." *Please cite this paper if you use this code for your research

    Downloads: 1 This Week Last Update: See Project
  • Virtual Botmaster

    Simulate Botnet NetFlow traffic for research analysis

    Simulate Botnet NetFlow traffic for research analysis

    Downloads: 0 This Week Last Update: See Project
  • Community Detection Modularity Suite Icon

    Community Detection Modularity Suite

    Suite of community detection algorithms based on Modularity

    - MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M. Newman, Physical Review E, 74(3):036104, 2006. [3] B. Ball et al, An efficient and principled method for detecting communities in networks, 2011. The suite is based upon the fast community algorithm implemented by Aaron Clauset <aaron@cs.unm.edu>, Chris Moore, Mark Newman, and the R IGraph library Copyright (C) 2007 Gabor Csardi <csardi@rmki.kfki.hu>. It also makes of the classes available from Numerical Recipies 3rd Edition W. Press, S. Teukolsky, W. Vetterling, B. Flanne

    Downloads: 1 This Week Last Update: See Project
  • MyNook Icon

    MyNook

    A machine learning system for supervised document classification

    An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.

    Downloads: 0 This Week Last Update: See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • 5
  • Next

Get latest updates about Open Source Projects, Conferences and News.

No, Thank you