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michaeldeistler/README.md

Hello, World!

I am a PhD candidate at the Max Planck International Research School for Intelligent Systems and the University of Tübingen. I am part of the Machine Learning in Science lab led by Jakob Macke.

I work on machine learning tools for scientific discovery. Together with many other amazing people, I am developer and maintainer of the following two toolboxes:

  • sbi, a PyTorch toolbox for simulation-based Bayesian inference and
  • Jaxley, a differentiable simulator for biophysically detailed neuron models in JAX.

You can follow me on Bluesky, Twitter, or Google scholar.

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  1. sbi-dev/sbi sbi-dev/sbi Public

    Simulation-based inference toolkit

    Python 603 152

  2. jaxleyverse/jaxley jaxleyverse/jaxley Public

    Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.

    Python 65 11