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Scalable semi-supervised learning with deep variational autoencoders
Applies and evaluates a variety of methods to complete a partially-observed data tensor, e.g. comprising gene expression profiles corresponding to various drugs, applied in various cellular contexts.
Concept extraction from MIMIC3 notes
Code shared by the research community for the eICU Collaborative Research Database
Miscellaneous tools for clinical ML
A lightweight wrapper around theano for rapid-prototyping of models
Structured Inference Networks for Nonlinear State Space Models
A torch package for learning diagnosis models from temporal patient data.
Deep Markov Models
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A conditional language model for MIMIC-III.
Deep Generative Model (Torch)
Methods to estimate noise rates of classifiers
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts" (http://cs.nyu.edu/~dsontag/papers/ChoiChiuSontag_AMIA_CRI16.pdf)
Barrier Frank-Wolfe for Marginal Inference
Continuous-time Markov model with discrete observations
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