4 projects for "document tracking system" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 1
    DocUMentDS
    DocUMentDS is a cross platform desktop document management system. Story and any file or document type with ease. DocUMentDS runs on 32 and 64 bit systems. AES-256 encryption is planned for next releases.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Open Legacy Storage Document: Generic Document Archiving on Disk and Network(using MINA) Framework in Java for huge number of docs(up to 2^192 documents), efficient(Java NIO), crypto, net transfert, web retrieve, J2EE and eMail archiving compatible.
    Downloads: 3 This Week
    Last Update:
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  • 3
    A client-server-system for distributively editing and signing documents. (technologies: Java, Java Servlets / JSPs, EJBs)
    Downloads: 0 This Week
    Last Update:
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  • 4
    How to set up a Linux system to use encryption in disk and network accesses. This document describes how you can use the International Kernel Patch and other packages to make harddisk contents and network traffic inaccessible to others by encryption.
    Downloads: 0 This Week
    Last Update:
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  • 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.
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