Showing 6 open source projects for "fast performance"

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    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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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    Text Embeddings Inference

    Text Embeddings Inference

    High-performance inference server for text embeddings models API layer

    Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems.
    Downloads: 7 This Week
    Last Update:
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  • 2
    David UI

    David UI

    Free Tailwind CSS UI component library for modern web interfaces

    David AI is a free and open source library of customizable, production-ready UI components designed to work with Tailwind CSS. It focuses on helping developers build modern and visually consistent user interfaces faster by providing ready-made components that can be integrated directly into web applications. These components are designed to be flexible and easy to customize, allowing developers to adapt them to the design needs of their projects while maintaining a clean and efficient...
    Downloads: 4 This Week
    Last Update:
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  • 3
    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    ...This approach helps developers quickly provide full project context to AI models without manually copying files or assembling prompts. code2prompt is built in Rust and focuses on performance, enabling fast traversal of large repositories while maintaining low resource usage. It also respects common project conventions such as .gitignore, ensuring that unnecessary files are automatically excluded from the generated prompt. The generated output can be saved to a file, printed to standard output, or copied to the clipboard for immediate use. ...
    Downloads: 3 This Week
    Last Update:
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  • 4
    Preswald

    Preswald

    Python tool for browser-based interactive data apps in one file

    ...Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. This approach allows developers to create dashboards, reports, notebooks, and data tools that are portable, fast, and capable of running offline. Preswald emphasizes a code-first workflow where users define applications entirely in Python while using built-in UI components such as tables, charts, and forms. It also includes a reactive execution model that only recomputes necessary parts of the app, improving performance and responsiveness.
    Downloads: 0 This Week
    Last Update:
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  • Save Up to 91% on Cloud Compute With Spot VMs Icon
    Save Up to 91% on Cloud Compute With Spot VMs

    Automatic sustained-use discounts. One free VM per month. No negotiation needed.

    Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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  • 5
    gpu_poor

    gpu_poor

    Calculate token/s & GPU memory requirement for any LLM

    gpu_poor is an open-source tool designed to help developers determine whether their hardware is capable of running a specific large language model and to estimate the performance they can expect from it. The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM will be required and how fast tokens can be generated during inference. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    ChatGPT Bulk Delete

    ChatGPT Bulk Delete

    Bulk delete your ChatGPT conversations easily with this Chrome extensi

    ChatGPT Bulk Delete is a modern and efficient Chrome extension that lets you delete all or selected ChatGPT conversations with a single click. With its elegant UI, fast performance, and privacy-friendly design, this open source tool streamlines conversation management for ChatGPT users. Installation is easy, and the extension supports the latest ChatGPT interface. Simply open ChatGPT, click the “Bulk Delete” button, and confirm your action to quickly clear your chat history. Built with React, TypeScript, and Tailwind CSS, and actively maintained for the best user experience. ...
    Downloads: 0 This Week
    Last Update:
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