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cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.perfect_match
ββ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.drnet
ππ 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.ame
π€π€ Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.CovEWS
The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.heart_rhythm_attentive_rnn
β€οΈπ± Heart rhythm classification from mobile event recorder data using attentive neural networks.DSMT-Nets
ππ‘ 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
πΆπ± A deep-learning approach to automatically extract digital biomarkers for Parkinson's disease from smartphone accelerometers.ncore
CGE-Piano
A piano scene for the computer graphics class project, using OpenGL, OpenAL, assimp and GLFW.SWPUE3-Plugin
A simple plugin pattern demonstration.SWPUE11-ChainOfResponsibility
A simple Chain Of Responsibility pattern demonstration.SWPUE5-Observer
A simple observer pattern demonstration.SWPUE7-Adapter
A simple adapter pattern demonstration.SWPUE4-Composite
A simple composite pattern demonstrationLove Open Source and this site? Check out how you can help us