Showing 6 open source projects for "python user interface"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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  • Picsart Enterprise Background Removal API for Stunning eCommerce Visuals Icon
    Picsart Enterprise Background Removal API for Stunning eCommerce Visuals

    Instantly remove the background from your images in just one click.

    With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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  • 1
    BlenderProc

    BlenderProc

    Blender pipeline for photorealistic training image generation

    A procedural Blender pipeline for photorealistic training image generation. BlenderProc has to be run inside the blender python environment, as only there we can access the blender API. Therefore, instead of running your script with the usual python interpreter, the command line interface of BlenderProc has to be used. In general, one run of your script first loads or constructs a 3D scene, then sets some camera poses inside this scene and renders different types of images (RGB, distance...
    Downloads: 0 This Week
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  • 2
    YData Synthetic

    YData Synthetic

    Synthetic data generators for tabular and time-series data

    .... It consists a set of different GANs architectures developed using Tensorflow 2.0. Several example Jupyter Notebooks and Python scripts are included, to show how to use the different architectures. YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards.
    Downloads: 0 This Week
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  • 3
    CTGAN

    CTGAN

    Conditional GAN for generating synthetic tabular data

    CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity. If you're just getting started with synthetic data, we recommend installing the SDV library which provides user-friendly APIs for accessing CTGAN. The SDV library provides wrappers for preprocessing your data as well as additional usability features like constraints. When using the CTGAN library directly, you may...
    Downloads: 0 This Week
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  • 4
    Zylthra

    Zylthra

    Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.

    Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface.
    Downloads: 0 This Week
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  • The Ultimate Quiz Maker & Engagement Platform Icon
    The Ultimate Quiz Maker & Engagement Platform

    Powering publishers, brands, and sports teams with 30+ interactive content types. Maximize engagement and revenue with Riddle.

    Riddle is an online platform for creating interactive content such as quizzes, surveys, personality tests, prediction games, and leaderboards. Our customers create content on our platform and then embed it on their website. The goal? Increased engagement, lead generation, segmentation, and content monetization - all 100% GDPR compliant.
    Try for free
  • 5
    Twinify

    Twinify

    Privacy-preserving generation of a synthetic twin to a data set

    twinify is a software package for the privacy-preserving generation of a synthetic twin to a given sensitive tabular data set. On a high level, twinify follows the differentially private data-sharing process introduced by Jälkö et al.. Depending on the nature of your data, twinify implements either the NAPSU-MQ approach described by Räisä et al. or finds an approximate parameter posterior for any probabilistic model you formulated using differentially private variational inference (DPVI)....
    Downloads: 0 This Week
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  • 6
    Ava: Testdata Xsl

    Ava: Testdata Xsl

    generates Testdata on base of excel: creates xml,excel,csv,html,sql,+

    ..., individual by xsl extension) (3) Collect all processed data in excel-files (4) plus: Xsl Executor, which let's you run xsl-scripts independently (5) plus: User Interface
    Downloads: 0 This Week
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