Showing 4 open source projects for "python (scikit-learn)"

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    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,...
    Downloads: 0 This Week
    Last Update:
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    KherveSheet

    KherveSheet

    Excel for scientists: high-quality plots, Python in cells, AI side bar

    ...An integrated AI assistant can generate the cell code from a plain-language description if needed. Learn by doing with 300 ready-made scientific examples covering plotting, data analysis, fitting and simulation. Built entirely in Python, KherveSheet adds a familiar Excel-style grid, an optimisation solver, and a native .ksheet format with CSV and Excel import/export. Runs on Windows.
    Downloads: 5 This Week
    Last Update:
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  • 3
    AlphaPy

    AlphaPy

    Python AutoML for Trading Systems and Sports Betting

    AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost.
    Downloads: 0 This Week
    Last Update:
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  • 4
    This money manager is a simple one (very simple at that) and someday might fork and have a GUI counterpart. Note: you need python installed on your system for this to work.
    Downloads: 0 This Week
    Last Update:
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