Showing 3 open source projects for "spatial computing"

View related business solutions
  • Save hundreds of developer hours with components built for SaaS applications. Icon
    Save hundreds of developer hours with components built for SaaS applications.

    The #1 Embedded Analytics Solution for SaaS Teams.

    Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
    Try Developer Playground
  • Red Hat Ansible Automation Platform on Microsoft Azure Icon
    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
    Learn More
  • 1
    NuPIC

    NuPIC

    Numenta platform for intelligent computing

    The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Talend Spatial Module (aka Spatial Data Integrator or SDI) is an ETL tool for geospatial. Based on Talend Open Studio, input, output and transform geocomponents are available. IO components read/write GIS formats(eg.PostGIS, GeoRSS). Transformers all
    Downloads: 5 This Week
    Last Update:
    See Project
  • 3
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next