Open Source MATLAB Machine Learning Software for ChromeOS

MATLAB Machine Learning Software for ChromeOS

Browse free open source MATLAB Machine Learning Software for ChromeOS and projects below. Use the toggles on the left to filter open source MATLAB Machine Learning Software for ChromeOS by OS, license, language, programming language, and project status.

  • Powerfully Simple Remote Monitoring and Management Software Icon
    Powerfully Simple Remote Monitoring and Management Software

    NinjaRMM provides intuitive endpoint management software to managed service providers (MSPs) and IT professionals

    If you're looking to support your clients and manage IT more efficiently, turn to NinjaRMM. The world's first security centric remote monitoring and management (RMM) platform, NinjaRMM enables IT professionals to monitor and manage the entire IT stack with full automation all within a single pane of glass. The platform features search and connect through TeamViewer, antivirus integration, real-time alerts, managed patching, automation, software inventory, and reporting.
    Free Trial
  • Strengthen your current Business intelligence infrastructure by automating reports and manual tasks Icon
    Strengthen your current Business intelligence infrastructure by automating reports and manual tasks

    Select, Format, Schedule and Deliver!

    PBRS™ and CRD®, our standalone report scheduling solutions for Power BI, Microsoft SQL Server Reporting Services® (SSRS) and SAP Crystal Reports®, are designed to supplement and strengthen your current Business intelligence infrastructure by automating reports & manual tasks, layering useful incremental capabilities, and scaling capacity by orders of magnitude. They supercharge operational productivity while lowering administrative costs.
    Free Trial
  • 1
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code
    Leader badge
    Downloads: 2,740 This Week
    Last Update:
    See Project
  • 2
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises.
    Downloads: 3 This Week
    Last Update:
    See Project
  • 3

    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/
    Leader badge
    Downloads: 5 This Week
    Last Update:
    See Project
  • 4
    GPLAB is a Genetic Programming Toolbox for MATLAB
    Downloads: 7 This Week
    Last Update:
    See Project
  • Fully managed relational database service for MySQL, PostgreSQL, and SQL Server Icon
    Fully managed relational database service for MySQL, PostgreSQL, and SQL Server

    Focus on your application, and leave the database to us

    Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
    Try for free
  • 5
    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..
    Downloads: 1 This Week
    Last Update:
    See Project
  • 6
    Activity Recognition

    Activity Recognition

    Resources about activity recognition

    This repository is a curated collection of resources, papers, code, and summaries relating to human activity recognition/behavior recognition. It is not a single integrated software package but rather a knowledge base organizing feature extraction methods, deep learning approaches, transfer learning strategies, datasets, and representative research in behavior recognition. The repository includes links to code in MATLAB, Python, summaries of algorithms, datasets, and relevant research papers. Feature extraction method summaries (e.g. motion, sensor, vision). Deep learning for activity recognition references.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    DOGMA is a MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms in a unique and simple framework. Examples are Perceptron, Passive-Aggresive, ALMA, NORMA, SILK, Projectron, RBP, Banditron, etc.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    This project is devoted to the creation of an open source Error-Correcting Output Codes (ECOC) library for the Machine Learning community. The ECOC framework is a powerful tool to deal with multi-class categorization problems.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Professional Email Hosting for Small Business | Greatmail Icon
    Professional Email Hosting for Small Business | Greatmail

    Ready to switch to a more reliable and secure email hosting solution?

    Dependable cloud based email hosting with spam filtering, antivirus protection, generous storage and webmail. Compatible with Outlook and all other POP3/IMAP clients. High volume SMTP service for responsible senders. Outbound relay service for transactional messages, email marketing campaigns, newsletters and other applications. Dedicated email servers, clustering and multiple IP load balancing for high volume senders. Fixed monthly cost with unlimited sending and reputation monitoring. Greatmail is an email service provider (ESP) specializing in business class email hosting, SMTP hosting and email servers. For ISPs, application programmers and cloud developers, we also provide custom solutions including dedicated IP servers and process specific, load balanced configurations with multiple servers.
    Learn More
  • 10
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Machine Learning Homework

    Machine Learning Homework

    Matlab Coding homework for Machine Learning

    The Machine-Learning-homework repository by user “Ayatans” is a collection of MATLAB code intended to solve or illustrate assignments in machine learning courses. It includes implementations of standard machine learning algorithms (such as regression, classification, etc.), scripts for data loading and preprocessing, and evaluation routines (e.g. accuracy, error metrics). Because it is structured as homework or practice material, the code is likely intended more for didactic use than for production deployment. It may contain comments, example datasets, and perhaps test scripts. The repository does not seem to be heavily maintained as a software project; rather, it functions as a library of solved problems and educational examples. The project is useful if you want working MATLAB examples of classic ML techniques, to study, adapt, or compare with your own implementations.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    nn22 Basic Neural Networks for Octave

    nn22 Basic Neural Networks for Octave

    Simple .m files, Basic Neural Networks study for Octave (or Matlab)

    --> For a more detailed description check the README text under the 'Files' menu option :) The project consists of a few very simple .m files for a Basic Neural Networks study under Octave (or Matlab). The idea is to provide a context for beginners that will allow to develop neural networks, while at the same time get to see and feel the behavior of a basic neural networks' functioning. The code is completely open to be modified and may suit several scenarios. The code commenting is verbose, and variables and functions do respect English formatting, so that code may be self explanatory. Messages to the screen are localized, both in English and Spanish, and it is really easy to add another language to the localization. If any further explanation is needed, the forum/discussion page may be of help :) Comments and suggestions are very welcome.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB