Showing 4 open source projects for "offline artificial intelligence\"

View related business solutions
  • Powering the next decade of business messaging | Twilio MessagingX Icon
    Powering the next decade of business messaging | Twilio MessagingX

    For organizations interested programmable APIs built on a scalable business messaging platform

    Build unique experiences across SMS, MMS, Facebook Messenger, and WhatsApp – with our unified messaging APIs.
  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
  • 1
    AStro inFER - a rule miner and executer
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    The 'BandSystem' spectral analysis system is a rule-based system for the classification of mineral spectra. It consists of a preprocessor, a feature extractor, and a rule-based system to identify minerals from infra-red reflectance spectra.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    3D space trade / action / colonization game seen from eyes of your player/cockpit . longterm : complex features in all aspects of game, multiplayer. Generally every can join , more good people = better.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
  • Previous
  • You're on page 1
  • Next