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  1. A Python toolkit for (simulation-based) inference and the mechanization of science.

    Python 46 5

  2. Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

    Jupyter Notebook 13 2

  3. cerndb/dist-keras Public archive

    Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

    Python 619 171

  4. Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

    Python 19 4

  5. A demonstration on how to enable active sciencing by amortizing Bayesian experimental design.

    Jupyter Notebook

  6. Unleash the true power of scheduling

    Python 3

511 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2022

3 contributions in private repositories May 20

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