Showing 2 open source projects for "grids"

View related business solutions
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Start Free
  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
    Start Free
  • 1
    Filt8- v3.6 alerts for WSJT-X FT8

    Filt8- v3.6 alerts for WSJT-X FT8

    Alert and filter QSO for WSJT-X FT8 FT4

    ...Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). Filters & alerts WSJT-X FT8 and FT4 output for Mac/Linux/Win. Like JTAlert but minimalist and cross-platform. Works on low end systems such as Raspberry PI or laptop with minimal config, no internet required. Written in Python Problems? Email us at snitch.lyric0z@icloud.com
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    LaMa

    LaMa

    LaMa - A Localization and Mapping library

    LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next