Showing 3 open source projects for "statistical"

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    Synthetic Data Generator

    Synthetic Data Generator

    SDG is a specialized framework

    ...The system supports multiple generation methods including statistical models, generative adversarial networks, and large language model–based synthesis. It also includes a data processing module capable of handling different data types, preprocessing columns, managing missing values, and converting formats automatically before model training.
    Downloads: 1 This Week
    Last Update:
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  • 2
    PaperBanana

    PaperBanana

    Extension of Google Research’s PaperBanana

    PaperBanana is an open-source agentic framework designed to automatically generate publication-quality academic diagrams and statistical plots directly from text descriptions. The project focuses on helping researchers, educators, and data scientists transform conceptual descriptions of figures into structured visual outputs suitable for research papers, presentations, and technical reports. Instead of manually designing charts or diagrams using traditional visualization tools, users can describe the desired figure in natural language and allow the system to generate the visual representation automatically. ...
    Downloads: 2 This Week
    Last Update:
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  • 3
    NBA Sports Betting Machine Learning

    NBA Sports Betting Machine Learning

    NBA sports betting using machine learning

    ...Machine learning models are then trained to estimate the probability that a team will win a game as well as whether the total score will fall above or below the sportsbook’s predicted total. In addition to predicting outcomes, the project evaluates expected value to determine whether a potential bet offers a statistical advantage compared with sportsbook odds.
    Downloads: 1 This Week
    Last Update:
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