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JacobTutt/README.md

Welcome!

PhD Astrophysics Canditate | Kavli Institute for Cosmology | Cavendish Astrophysics, University of Cambridge

  • Specialising in machine learning, Bayesian inference, and high-performance computing for large-scale astronomical data analysis

  • Developing scalable data pipelines for the Exascale Era of Radio Astronomy

  • Focusing on precision measurements of the redshifted 21-cm emission line

  • Previously:

    • University of Cambridge, MPhil In Data Intensive Science
    • Durham University, BSc Physics

📧 Contact me at: Email

🔗 Connect with me on: LinkedIn

🌐 Visit my website: Here

Popular repositories Loading

  1. BSc_Physics_Notes BSc_Physics_Notes Public

    A collection of my Third Year Revision Notes from BSc Physics - Durham University

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  2. mcp-tools mcp-tools Public

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  3. dual_autodiff_package dual_autodiff_package Public

    Fast and accurate automatic differentiation via dual numbers, with full NumPy support and fast Cython backend.

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  4. stat_frequentist_analysis stat_frequentist_analysis Public

    In depth analysis of the performance of a multidimensional Extended Maximum Likelihood Estimate (MLE) with Custom Orthogonal Weight functions (‘sWeighted’) fit

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  5. ML_mnist ML_mnist Public

    Classification of paired MNIST digit images by their sum using neural networks, tree-based models, SVMs, and logistic regression, with embedding analysis via t-SNE.

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  6. JacobTutt JacobTutt Public

    Config files for my GitHub profile.