Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View d909b's full-sized avatar

Highlights

  • Pro

Block or report d909b

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. cxplain cxplain Public

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

    Python 132 34

  2. perfect_match perfect_match Public

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

    Python 131 21

  3. drnet drnet Public

    πŸ’‰πŸ“ˆ 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 93 14

  4. ame ame Public

    πŸ€–πŸ€– 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 43 6

  5. CovEWS 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 18 2

  6. heart_rhythm_attentive_rnn heart_rhythm_attentive_rnn Public

    β€οΈπŸ“± Heart rhythm classification from mobile event recorder data using attentive neural networks.

    Python 9 6