Machine Learning Software

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Machine Learning Software

  • Use DigitalOcean to Build, Deploy & Scale Web Apps Use DigitalOcean to Build, Deploy & Scale Web Apps Icon
    Use DigitalOcean to Build, Deploy & Scale Web Apps Icon

    The ease and simplicity of DigitalOcean gives developers more time to build and innovate for their customers.

    Thousands of businesses and developers around the world use DigitalOcean to easily deploy, manage, and scale applications of any size with less infrastructure friction. Go from one to a thousand virtual servers in seconds. Also, we continue to add hundreds of in-depth tutorials to our documentation library and have an active online community to get the support you need to succeed.
  • PubNub: Realtime APIs, Global Infrastructure PubNub: Realtime APIs, Global Infrastructure Icon
    PubNub: Realtime APIs, Global Infrastructure Icon

    Harness the power of PubNub’s programmable APIs and robust global network to power realtime chat, geolocation, IoT, multiplayer games, and more.

    The realtime revolution is upon us. Users want data, and they want it now. Deliver the immersive, interactive experiences your audience craves with PubNub. Get to market quickly with pre-built SDKs, integrations, and serverless computing at the edge; then scale on a global network that delivers any message in under a quarter of a second with five 9’s reliability guaranteed.
  • JAABA

    The Janelia Automated Animal Behavior Annotator

    The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. JAABA combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. Documentation is available at: http://jaaba.sourceforge.net/

  • Face Recognition System

    Face Recognition System Matlab source code

    Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.

    Downloads: 26 This Week Last Update: See Project
  • BreakDancer

    BreakDancer-0.0.1 is a Perl package that provides genome-wide detection of structural variants from next generation paired-end sequencing reads.

  • 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: 21 This Week Last Update: See Project
  • 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: 21 This Week Last Update: See Project
  • Join us at Talend Connect! Join us at Talend Connect! Icon
    Join us at Talend Connect! Icon

    Get your tickets to the best data-driven event of the year!

    May 7 – May 9. Use discount code TCCommunity2018 for $200 off.
  • Face Recognition Wavelet Neural Networks Icon

    Face Recognition Wavelet Neural Networks

    Face Recognition Wavelet Neural Networks

    Face Recognition [Wavelet and Neural Networks ] V2 : Simple and Effective Source Code for Face Recognition Based on Wavelet and Neural Networks. The code has been tested with AT&T database achieving an excellent recognition rate of 97.90% (40 classes, 5 training images and 5 test images for each class, hence there are 200 training images and 200 test images in total randomly selected and no overlap exists between the training and test images). See More : http://matlab-recognition-code.com/face-recognition-based-on-wavelet-and-neural-networks-matlab-code/

    Downloads: 20 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: 19 This Week Last Update: See Project
  • CANPRIC, Modern ANPR SDK Engine

    ANPR SDK

    Read multi-plates in one image without number limitation. 50-55 millisconds for processing one frame of image. Simplest API The smallest, simplest, fastest Modern ANPR SDK CANPRIC is a modern ANPR/LPR engine, which based on machine learning and high performance computing(HPC). The ambition of CANPRIC is leading the ANPR industry into intelligent times and using the HPC technique to get high speed of processing.

  • GUAJE FUZZY Icon

    GUAJE FUZZY

    Free software for generating understandable and accurate fuzzy systems

    GUAJE stands for Generating Understandable and Accurate fuzzy models in a Java Environment. Thus, it is a free software tool (licensed under GPL-v3) with the aim of supporting the design of interpretable and accurate fuzzy systems by means of combining several preexisting open source tools, taking profit from the main advantages of all of them. It is a user-friendly portable tool designed and developed in order to make easier knowledge extraction and representation for fuzzy systems, paying special attention to interpretability issues. GUAJE lets the user define expert variables and rules, but also provide supervised and fully automatic learning capabilities. Both types of knowledge, expert and induced, are integrated under the expert supervision, ensuring interpretability, simplicity and consistency of the knowledge base along the whole process. Notice that, GUAJE is is an upgraded version of the free software called KBCT (Knowledge Base Configuration Tool).

  • SNNS

    The intention of this project is to give all serious users of the SNNS a place where they find a bugfix and patch management and where they get useful information about the SNNS.

  • Pyramid - The Complete Self-Service Analytics Platform Pyramid - The Complete Self-Service Analytics Platform Icon
    Pyramid - The Complete Self-Service Analytics Platform Icon

    Easily combine data from multiple sources to build dashboards and reports with our scalable solution built for mid-size to enterprise companies.

    Pyramid combines analytic tools often found in separate applications. It features a graphically based ETL to model data and incorporate machine learning algorithms, intuitive data discovery tools that produce simple and advanced visualizations, a presentation builder for creating analytic applications and presentations, and an enterprise-grade report builder—all in a single, integrated platform that can be accessed from any browser or device.
  • Fingerprint Recognition System

    Fingerprint Recognition System 5.3 - Matlab source code

    The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining the decisions of the matchers based on complementary (minutiae-based and filter-based) fingerprint information. Index Terms: Biometrics, FingerCode, fingerprints, flow pattern, Gabor filters, matching, texture, verification.

    Downloads: 16 This Week Last Update: See Project
  • High-order HMM in Matlab

    Implementation of duration high-order hidden Markov model in Matlab.

    Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.

  • 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: 15 This Week Last Update: See Project
  • Open Pandora's Box Icon

    Open Pandora's Box

    Pandora is an artificial intelligent web based bot

    Pandora is an artificial intelligent web based bot written in Java. Pandora is a component based AI architecture including, database memory, XML, voice, voice rec, chat, IRC, HTTP, Wiktionary, Freebase, consciousness, language, GUI, applet, web, jsp, Android

  • CvHMM

    Discrete Hidden Markov Models based on OpenCV

    This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects.

  • 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. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.

    Downloads: 14 This Week Last Update: See Project
  • openSMILE

    SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.

  • ADAMS Icon

    ADAMS

    ADAMS is a workflow engine for building complex knowledge workflows.

    ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA, deeplearning4j) and image processing (ImageJ, JAI, BoofCV, OpenImaJ,LIRE, ImageMagick and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications.

    Downloads: 12 This Week Last Update: See Project
  • Tic

    Algorithmic, Genetic and Neural Network implementations of machine learning algorithms which learn to play Tic-Tac-Toe so well as to become unbeatable. Also includes Java classes for flexible, Back-Propagation Neural Network and Genetic Algorithm.

    Downloads: 11 This Week Last Update: See Project
  • cintruder Icon

    cintruder

    CIntruder - OCR Bruteforcing Toolkit

    Captcha Intruder is an automatic pentesting tool to bypass captchas.

  • BetBoy

    Using neural networks to predict outcomes of football matches

    Predicting outcomes of matches using neural networks,simulations,automatic bets selector,automatic/manual database updates How to use instructions: https://sourceforge.net/p/betboy/wiki/Home/ Video presentation: http://www.youtube.com/watch?feature=player_embedded&v=I2C5TlBSB6w http://www.youtube.com/watch?feature=player_embedded&v=hZ00br89_l8 http://www.youtube.com/watch?feature=player_embedded&v=844iwI8zBZk

    Downloads: 7 This Week Last Update: See Project
  • GNAT Icon

    GNAT

    GNAT recognizes gene names in text and maps them to NCBI Entrez Gene

    GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.

    Downloads: 7 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

  • BudgetedSVM Icon

    BudgetedSVM

    BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification

    We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classification problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox.

    Downloads: 6 This Week Last Update: See Project
  • Density-ratio based clustering Icon

    Density-ratio based clustering

    Discovering clusters with varying densities

    This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571

    Downloads: 6 This Week Last Update: See Project

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