Showing 2 open source projects for "java project with source code"

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  • SIEM | API Security | Log Management Software Icon
    SIEM | API Security | Log Management Software

    AI-Powered Security and IT Operations Without Compromise.

    Built on the Graylog Platform, Graylog Security is the industry’s best-of-breed threat detection, investigation, and response (TDIR) solution. It simplifies analysts’ day-to-day cybersecurity activities with an unmatched workflow and user experience while simultaneously providing short- and long-term budget flexibility in the form of low total cost of ownership (TCO) that CISOs covet. With Graylog Security, security analysts can:
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  • ToogleBox: Simplify, Automate and Improve Google Workspace Functionalities Icon
    ToogleBox: Simplify, Automate and Improve Google Workspace Functionalities

    The must-have platform for Google Workspace

    ToogleBox was created as a solution to address the challenges faced by Google Workspace Super Admins. We developed a premium and secure Software-as-a-Service (SaaS) product completely based on specific customer needs. ToogleBox automates most of the manual processes when working with Google Workspace functionalities and includes additional features to improve the administrator experience.
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  • 1
    tlm

    tlm

    Local CLI Copilot, powered by Ollama

    ...This approach allows developers to use powerful open-source models such as Llama, Phi, DeepSeek, and Qwen while maintaining privacy and avoiding external service dependencies. The system supports contextual queries where the AI analyzes files within a directory and generates answers based on project documentation or source code. It also detects the user’s shell environment automatically, allowing it to generate commands tailored to shells such as Bash, Zsh, or PowerShell.
    Downloads: 7 This Week
    Last Update:
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  • 2
    LLaMA.go

    LLaMA.go

    llama.go is like llama.cpp in pure Golang

    llama.go is like llama.cpp in pure Golang. The code of the project is based on the legendary ggml.cpp framework of Georgi Gerganov written in C++ with the same attitude to performance and elegance. Both models store FP32 weights, so you'll needs at least 32Gb of RAM (not VRAM or GPU RAM) for LLaMA-7B. Double to 64Gb for LLaMA-13B.
    Downloads: 0 This Week
    Last Update:
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