Showing 9 open source projects for "mini project in cloud computing for source code"

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    Salesforce DevOps done right.

    Gearset is the only platform you need for unparalleled deployment success, continuous delivery, automated testing and backups.
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  • The Industry Leading Platform for eCommerce Enablement and Analytics Icon
    The Industry Leading Platform for eCommerce Enablement and Analytics

    With MikMak Insights, brands gain real-time eCommerce analytics on the channels, campaigns, creative, and audiences that drive conversions.

    MikMak’s Where to Buy Shoppable Solutions help multichannel brands drive sales, grow market share, and increase profitability while reducing costs across categories such as CPG, Grocery, Alcohol, Beauty, Personal Care, Pet Care, Home Care, Consumer Electronics, Home Appliances, Toys, and more.
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  • 1
    HolmesGPT

    HolmesGPT

    CNCF Sandbox Project

    ...The project is developed by Robusta and has been accepted as a Cloud Native Computing Foundation Sandbox project, highlighting its relevance to the cloud-native ecosystem. It is designed to operate as an automated troubleshooting assistant that can analyze incidents continuously and support on-call engineers during outages.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Clippy

    Clippy

    Clippy, now with some AI

    Clippy is an open-source desktop assistant that allows users to run modern large language models locally while presenting them through a nostalgic interface inspired by Microsoft’s classic Clippy assistant from the 1990s. The project serves as both a playful homage to the early days of personal computing and a practical demonstration of local AI inference.
    Downloads: 43 This Week
    Last Update:
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  • 3
    PicoLM

    PicoLM

    Run a 1-billion parameter LLM on a $10 board with 256MB RAM

    PicoLM is an open-source inference framework designed to run large language models on extremely constrained hardware environments such as inexpensive single-board computers and embedded systems. The project focuses on enabling efficient local inference by optimizing memory usage, computation, and system dependencies so that relatively large models can operate on devices with minimal RAM.
    Downloads: 0 This Week
    Last Update:
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  • 4
    E2B Cookbook

    E2B Cookbook

    Examples of using E2B

    E2B Cookbook is an open-source collection of example projects, guides, and reference implementations demonstrating how to build applications using the E2B platform. The repository acts as a practical learning resource for developers who want to integrate AI agents with secure cloud execution environments that allow large language models to run code and interact with tools.
    Downloads: 0 This Week
    Last Update:
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  • MicroStation by Bentley Systems is the trusted computer-aided design (CAD) software built specifically for infrastructure design. Icon
    MicroStation by Bentley Systems is the trusted computer-aided design (CAD) software built specifically for infrastructure design.

    Microstation enables architects, engineers, and designers to create precise 2D and 3D drawings that bring complex projects to life.

    MicroStation is the only computer-aided design software for infrastructure design, helping architects and engineers like you bring their vision to life, present their designs to their clients, and deliver their projects to the community.
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  • 5
    llama.vscode

    llama.vscode

    VS Code extension for LLM-assisted code/text completion

    llama.vscode is a Visual Studio Code extension that provides AI-assisted coding features powered primarily by locally running language models. The extension is designed to be lightweight and efficient, enabling developers to use AI tools even on consumer-grade hardware. It integrates with the llama.cpp runtime to run language models locally, eliminating the need to rely entirely on external APIs or cloud providers. The extension supports common AI development features such as code...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Generative AI Use Cases (GenU)

    Generative AI Use Cases (GenU)

    Application implementation with business use cases

    AWS Generative AI Use Cases is an open-source repository developed by AWS that provides practical examples and reference implementations for building applications powered by generative artificial intelligence. The project collects a wide range of real-world scenarios that demonstrate how organizations can use large language models and generative AI services within cloud-based architectures.
    Downloads: 1 This Week
    Last Update:
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  • 7
    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: 2 This Week
    Last Update:
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  • 8
    RAG from Scratch

    RAG from Scratch

    Demystify RAG by building it from scratch

    RAG From Scratch is an educational open-source project designed to teach developers how retrieval-augmented generation systems work by building them step by step. Instead of relying on complex frameworks or cloud services, the repository demonstrates the entire RAG pipeline using transparent and minimal implementations. The project walks through key concepts such as generating embeddings, building vector databases, retrieving relevant documents, and integrating the retrieved context into...
    Downloads: 0 This Week
    Last Update:
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  • 9
    Mixtral offloading

    Mixtral offloading

    Run Mixtral-8x7B models in Colab or consumer desktops

    Mixtral-Offloading is an open-source project designed to enable efficient inference of large Mixture-of-Experts language models such as Mixtral-8x7B on hardware with limited GPU memory. The project implements techniques that allow model components to be dynamically moved between CPU memory and GPU memory during inference, significantly reducing the amount of GPU VRAM required to run the model.
    Downloads: 0 This Week
    Last Update:
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  • Boon: The Agile Referral Hiring Platform Icon
    Boon: The Agile Referral Hiring Platform

    Tap your entire community to hire better talent, faster

    Boon's agile referral platform expands your recruiting power 
through AI, automation, integrations, and gamification.
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