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Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Quickdraw

Highlights

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theo-brown/README.md

🚀 Open Source Contributions

TORAX: Google DeepMind's tokamak transport simulator.

  • Extending capabilities to model spherical tokamaks
  • Developing optimisation and control routines
  • Integrating with and benchmarking against other codes

GPJax: Gaussian Processes in JAX/Flax.

  • Improving core fitting routines and enhancing flexibility
  • Developing new tools for Bayesian optimisation

📝 Publications
Multi-objective Bayesian optimization for design of Pareto-optimal current drive profiles in STEP IEEE Transactions on Plasma Science (2023) 📄 Paper • 💻 Code
Sample-efficient Bayesian optimisation using known invariances NeurIPS (2024) 📄 Paper • 💻 Code

📦 Maintained Packages

PyPI version invariantkernels: Group-invariant kernels for symmetry-aware GPs in GPyTorch.

Pinned Loading

  1. google-deepmind/torax google-deepmind/torax Public

    TORAX: Tokamak transport simulation in JAX

    Python 432 57

  2. bayesopt_with_invariances bayesopt_with_invariances Public

    Code accompanying the paper "Sample-efficient Bayesian Optimisation Using Known Invariances", NeurIPS 2024.

    Jupyter Notebook 3

  3. jetto-mobo jetto-mobo Public

    Multi-objective Bayesian Optimisation for tokamak design in the JETTO plasma modelling code

    Jupyter Notebook 2

  4. invariantkernels invariantkernels Public

    Transformation-invariant kernels in GPyTorch

    Jupyter Notebook 6

  5. cv cv Public

    My CV, written in LaTeX from scratch

  6. jetto2torax jetto2torax Public

    Convert JETTO configs to TORAX configs

    Python