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  1. cxplain Public

    Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

    Python 100 28

  2. Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

    Python 95 22

  3. drnet Public

    💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

    Python 47 12

  4. ame Public

    🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

    Python 27 7

  5. CovEWS Public

    The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.

    Python 16 2

  6. ❤️📱 Heart rhythm classification from mobile event recorder data using attentive neural networks.

    Python 7 6

30 contributions in the last year

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May 2022

d909b has no activity yet for this period.

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