Showing 5 open source projects for "gen"

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  • 1
    Generative AI Docs

    Generative AI Docs

    Documentation for Google's Gen AI site - including Gemini API & Gemma

    Generative AI Docs is Google’s official documentation repository for Gemini, Vertex AI, and related generative AI APIs. It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that...
    Downloads: 3 This Week
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  • 2
    Mindolph

    Mindolph

    Mindolph is an open source desktop PKM software with Gen-AI support.

    Mindolph is an open source personal knowledge management software with Gen-AI support for all desktop platforms.
    Downloads: 15 This Week
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  • 3
    Text Gen

    Text Gen

    Almost state of art text generation library

    Almost state of art text generation library. Text gen is a python library that allow you build a custom text generation model with ease. Something sweet built with Tensorflow and Pytorch(coming soon). Load your data, your data must be in a text format. Download the example data from the example folder. Tune your model to know the best optimizer, activation method to use.
    Downloads: 0 This Week
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  • 4
    A Netflix film cover generator Nuxt.js

    A Netflix film cover generator Nuxt.js

    A tool for generating Netflix show image

    We love Netflix, but we love memes even more. We thought that helping Netflix on their UI/UX testing with a tool that can create show images easily with an export function to png. A tool for generating Netflix shows an image. You can visit the demo website hosted on Netlify. This is an open-source tool and it is available on Github. On this tool you have a full editable canvas where you can edit content, text position, text dimension, gradient position and change the background image. In...
    Downloads: 0 This Week
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  • 5
    Reliable Metrics for Generative Models

    Reliable Metrics for Generative Models

    Code base for the precision, recall, density, and coverage metrics

    Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those...
    Downloads: 0 This Week
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