Showing 4 open source projects for "pentest operating system"

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  • 1
    ProjectLibre - Project Management

    ProjectLibre - Project Management

    #1 alternative to Microsoft Project : Project Management & Gantt Chart

    ProjectLibre project management software: #1 free alternative to Microsoft Project w/ 7.8M+ downloads in 193 countries. ProjectLibre is a replacement of MS Project & includes Gantt Chart, Network Diagram, WBS, Earned Value etc. This site downloads our FOSS desktop app. 🌐 Try the Cloud: http://www.projectlibre.com/register/trial We also offer ProjectLibre Cloud—a subscription, AI-powered SaaS for teams & enterprises. Cloud supports multi-project management w/ role-based access, central...
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    Downloads: 17,221 This Week
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  • 2
    PocketAI

    PocketAI

    A live linux system with preconfigured AI

    Pocket AI is a beginner friendly Linux system with out of the box AI functionality. It has an Ollama instance running and several apps pre configured to use the Ollama endpoint locally. The included programs are Anythingllm, chatbox, code-oss (Open source build of VSCode), n8n, searxng and aichat-ng
    Downloads: 6 This Week
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  • 3
    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
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    Downloads: 423 This Week
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  • 4
    Alpaca.cpp

    Alpaca.cpp

    Locally run an Instruction-Tuned Chat-Style LLM

    ...This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way.
    Downloads: 0 This Week
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