Showing 3 open source projects for "cloud simulation tools"

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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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    Awesome Privacy

    Awesome Privacy

    A curated list of privacy & security-focused software and services

    Awesome Privacy is a curated directory of privacy-respecting alternatives to mainstream apps and services, organized across many categories like browsers, search, email, messaging, cloud storage, and operating systems. It aims to help you choose tools that reduce tracking, fingerprinting, and data collection without sacrificing usability. Each entry highlights the project’s core properties—such as open source status, end-to-end encryption, and platform availability—so you can evaluate trade-offs quickly. Because product landscapes change fast, the list emphasizes ongoing maintenance and community discussion around quality and trust. ...
    Downloads: 0 This Week
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  • 2
    KnowNote

    KnowNote

    A local-first AI knowledge base & NotebookLM alternative

    ...It lets users build an intelligent, searchable knowledge base from uploaded documents such as PDFs, Word files, PowerPoints, and web pages, and then interact with that content using LLM-powered chat, summarization, and reasoning tools. Unlike many NotebookLM alternatives that rely on Docker or cloud deployments, KnowNote runs natively on desktop platforms without complex setup, meaning all data stays local unless the user opts to integrate with self-managed or private LLM APIs. Its retrieval-augmented generation (RAG) system offers semantic search and traceable source references, and it supports multiple LLM providers through a flexible plugin-style provider architecture.
    Downloads: 17 This Week
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  • 3
    Generative AI Examples

    Generative AI Examples

    Generative AI Examples is a collection of GenAI examples

    Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness.
    Downloads: 0 This Week
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