Showing 4 open source projects for "thesis"

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  • 1
    hithesis

    hithesis

    LaTeX thesis template package for Harbin Institute of Technology

    hithesis is a LaTeX thesis template tailored to the formatting requirements of Harbin Institute of Technology, covering undergraduate, master’s, and doctoral submissions. It provides class files and examples that handle title pages, abstracts in multiple languages, acknowledgments, lists of figures/tables, symbols, and properly styled chaptering. The template includes bibliography settings and citation styles that conform to school rules, along with ready-made environments for formulas, algorithms, and code. ...
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  • 2
    Awesome Conformal Prediction

    Awesome Conformal Prediction

    A professionally curated list of awesome Conformal Prediction videos

    ...This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. Immerse yourself in a professionally curated collection that has been honed through years of dedication and experience.
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  • 3
    Investing

    Investing

    Investing Returns on the Market as a Whole

    This repository, owned by the user zonination (Zoni Nation), presents a data visualization and analysis project on long-term returns from broad stock market indexes, especially the S&P 500. The author gathers historical price data (adjusted for inflation and dividends) and computes growth trajectories under a “buy and hold” strategy over decades. The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields...
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  • 4

    PINNLib

    Pseudo-inverse associative neural networks library

    C++ implementation of high-performance associative neural networks models based on pseudo-inverse learning rule, also known as projection rule or attractor-based rule
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