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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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htjb/README.md

Welcome to my Github...

I am a Kavli Research Fellow at the University of Cambridge working on Bayesian Inference and Machine Learning tools for cosmology. I have a keen interest in all things cosmology, data analysis and coding.

You can see a list of my publications here and a my academic talks here.

Technical Skills
Python, PyTorch, TensorFlow, JAX, LaTex, macOS, HPC, Linux
Currently learning
Javascript, html and css

Contact

If you are interested in any of my work or think that I could make a contribution to something you are working on then feel free to email me at htjb2@cam.ac.uk.

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  1. globalemu globalemu Public

    Robust and fast global (sky-averaged) 21-cm signal emulation

    Python 4

  2. maxsmooth maxsmooth Public

    Constrained Derivative Function Optimisation

    Jupyter Notebook 7 1

  3. margarine margarine Public

    Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.

    Jupyter Notebook 13 8

  4. piecewise_normalizing_flows piecewise_normalizing_flows Public

    Experiments and plots for Piecewise Normalising Flows paper.

    Python 3

  5. Talks Talks Public

    Conference presentations and talks

    Jupyter Notebook

  6. CV CV Public

    TeX