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Patrick Schwab's Projects

ame icon ame

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.

cge-piano icon cge-piano

A piano scene for the computer graphics class project, using OpenGL, OpenAL, assimp and GLFW.

covews icon covews

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

cxplain icon cxplain

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

drnet icon drnet

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.

dsmt-nets icon dsmt-nets

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

eth_dream_pd_subchallenge1 icon eth_dream_pd_subchallenge1

πŸšΆπŸ“± A deep-learning approach to automatically extract digital biomarkers for Parkinson's disease from smartphone accelerometers.

gadel-snake icon gadel-snake

A snake clone for GADEL class using the Angle engine.

heart_rhythm_attentive_rnn icon heart_rhythm_attentive_rnn

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

perfect_match icon perfect_match

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

sksscadajava icon sksscadajava

SKS class excercise. A n-tier application with multiple clients and web services, built on Java EE.

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