Showing 5 open source projects for "linux educational"

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    Awesome-Quant

    Awesome-Quant

    A curated list of insanely awesome libraries, packages and resources

    awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards.
    Downloads: 5 This Week
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  • 2
    AI Hedge Fund

    AI Hedge Fund

    An AI Hedge Fund Team

    This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a...
    Downloads: 4 This Week
    Last Update:
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  • 3
    VisPy

    VisPy

    Main repository for Vispy

    Vispy is an open-source, high-performance interactive visualization library in Python, designed for creating scientific visualizations and interactive plots. It leverages the power of modern Graphics Processing Units (GPUs) through OpenGL to render large datasets efficiently. Vispy supports a wide range of visualization types, including 2D plots, 3D visualizations, volume rendering, and more, making it suitable for scientific research, data analysis, and educational purposes.
    Downloads: 1 This Week
    Last Update:
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  • 4
    Mova PDF voice reader

    Mova PDF voice reader

    PDF Reader with Text-to-Speech (TTS) Mowa

    PDF Reader with Text-to-Speech (TTS) Mova . is a desktop application developed in Python using the PySide6 framework. The program enables users to open PDF documents, display their pages, extract text, and read it aloud using an integrated Text-to-Speech engine. The interface is divided into two synchronized panels: one displays the original PDF page, while the other presents the extracted text in a readable format. Users can navigate through pages, select specific content, and control...
    Downloads: 2 This Week
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  • 5
    wxRays

    wxRays

    Visual x-ray data processor

    Visual x-ray data processor. The routine, writed in Python using wxPython, NumPy, SciPy and mathplotlib libraries for practical and educational purpose.
    Downloads: 0 This Week
    Last Update:
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