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Dynamical Inference Lab

Dynamical Inference Lab @ Helmholtz Munich, led by @stes

Welcome 👋

This is the Github account of the Dynamical Inference Lab at Helmholtz Munich.

We build machine learning algorithms for representation learning and inference of nonlinear system dynamics. We apply these algorithms to model complex biological systems in neuroscience, cell biology and other life science applications.

If you are interested in representation learning algorithms and/or their applications, please reach out! We are hiring for fully-funded PhD, postdoc and research engineering positions, and also welcome undergraduate and Master’s students to apply for research visits, internships and research assistant positions.

Further information on the lab website: dynamical-inference.ai

Popular repositories Loading

  1. dcl dcl Public

    Official reference implementation of dynamics contrastive learning (DCL).

    Python 28 4

  2. patchsae patchsae Public

    Implementation of PatchSAE as presented in "Sparse autoencoders reveal selective remapping of visual concepts during adaptation"

    Jupyter Notebook 28 4

  3. cytosae cytosae Public

    Official implementation of CytoSAE: Interpretable Cell Embeddings for Hematology

    Jupyter Notebook 21 4

  4. fastsae fastsae Public

    FastSAE: Adopt seamlessly, train fast

    Python 4

  5. ebc ebc Public

    Official implementation of Equivariance by Contract (EbC)

    Python 1 1

  6. .github .github Public

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