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A Python toolkit for (simulation-based) inference and the mechanization of science.
Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".
A demonstration on how to enable active sciencing by amortizing Bayesian experimental design.
Unleash the true power of scheduling
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