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Achievements

Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
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@STOR-i
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thomaspinder/README.md

Hi there 👋

I'm an Applied Scientist at Amazon working on causal analysis. Previously, I completed a PhD in Statistics titled Developments in Gaussian processes with applications to climate science and network problems. I am interested in Gaussian processes, network models, and causal inference.

  • 🔭 I’m currently working on non-stationary causal analysis
  • 🙌 I’m looking to collaborate on GPJax

Pinned

  1. JaxGaussianProcesses/GPJax JaxGaussianProcesses/GPJax Public

    Gaussian processes in JAX.

    Python 388 47

  2. SteinGP SteinGP Public

    Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.

    Python 7

  3. GPViz GPViz Public archive

    A Python package for visualising GPJax Gaussian processes.

    Python 5 2

  4. STOR-i/GaussianProcesses.jl STOR-i/GaussianProcesses.jl Public

    A Julia package for Gaussian Processes

    Jupyter Notebook 305 53

  5. bayesian_uncertainty_adversaries bayesian_uncertainty_adversaries Public

    Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs

    HTML 4 1

  6. AI_chess AI_chess Public

    A MCTS based approach to solving chess puzzles using UCT, Thompson Sampling and Epsilon-Greedy

    C++ 2