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trappmartin/README.md

Hi there

I am an Assistant Professor at KTH, Sweden, working on probabilistic machine learning.

Most of my open-source activities are centred around probabilistic modelling, uncertainty quantification, and deep learning. I am actively involved in several research communities.

For details, see my website and my Google scholar profile.

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  1. TuringLang/Turing.jl TuringLang/Turing.jl Public

    Bayesian inference with probabilistic programming.

    Julia 2.2k 239

  2. AaltoML/SUQ AaltoML/SUQ Public

    SUQ: Streamlined Uncertainty Quantification

    Python 12 2

  3. AaltoML/BayesVLM AaltoML/BayesVLM Public

    Code for Post-hoc Probabilistic Vision-Language Models

    Python 16 11

  4. SumProductNetworks.jl SumProductNetworks.jl Public archive

    Sum-product networks in Julia.

    Julia 36 4

  5. BayesianSumProductNetworks BayesianSumProductNetworks Public archive

    Implementation of Bayesian Sum-Product Networks

    Julia 13 6

  6. DeepStructuredMixtures DeepStructuredMixtures Public archive

    Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)

    Julia 11 5