Showing 5 open source projects for "python text parser"

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.
    Get Started Free
  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
    Try Free
  • 1
    ciwiki

    ciwiki

    Personnal or familly wiki with low ressource requirement.

    Personal lightweight wiki based on DidiWiki. Upgraded to accept text and highlight color, image resize and video (youtube, dailymotion...) embedded. Written in C, doesn't require a lot of RAM. Works fine on Raspbian (Raspberry Pi). Example of Ciwiki running on Raspberry Pi B+ (700MHz, 512MB): http://inphilly.dyn.dhs.org
    Downloads: 4 This Week
    Last Update:
    See Project
  • 2
    Wiko, the wiki compiler, compiles wiki like files into html and LaTeX, combining easy wiki syntax, your preferred non-web text editor and svn/cvs control to write static webs, cientific articles or even blogs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    creole/c is a Wiki Creole parser and a HTML converter. It implements Wiki Creole 1.0 and almost all of its additions. The parser is written in C++ and has a simple event driven plain C API. The converter is a stand-alone console application.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    A JavaScript library for parsing Creole 1.0 wiki markup.
    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
  • 5
    A collection of python scripts to create and handle an XML corpus (a large collection of text for linguistic purpose) from an original Wikipedia database backup dump. It includes a regular expression based parser for the MediaWiki markup language.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next