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

    Python 49 11

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

    Python 42 7

  3. 💉📈 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 15 2

  4. 🤖🤖 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 11 1

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

    Python 8 2

  6. 👓📡 Distantly Supervised Multitask Networks (DSMT-Nets) are a deep-learning approach to semi-supervised learning that utilises distant supervision through many auxiliary tasks.

    Python 5 1

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