Showing 4 open source projects for "artificial intelligence python"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 1
    3store is an RDF "triple store", written in C and backed by MySQL and Berkeley DB. It is an optimisation and port of an older triple store (WebKBC). It provides access to the RDF data via RDQL or SPARQL over HTTP, on the command line or via a C API.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Nokia Research Center's open source toolkit for Semantic Web development, written in Common Lisp.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Algernon is a rule-based reasoning engine written in Java. It allows forward and backward chaining across Protege knowledge bases. In addition to traversing the KB, rules can call Java functions and LISP functions (from an embedded LISP interpreter)
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    PDKB is an Artificial Intelligence Knowledge Bank of commonsense rules and facts. It is based on the Cyc Upper Ontology and the MELD language.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • Previous
  • You're on page 1
  • Next