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aol

This package provide matlab code to realized 3 popular machine learning method for Dynamic Treatment Regime. A intermediate version of the paper is https://arxiv.org/abs/1611.02314. The paper started in 2012, and is currently in press at Stat in Medicine. We also provide R code for functions in the package in 'DTRlearn'. The matlab code performs more stable than R.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

dpcca

Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".

ibp_vae

mean-field and structured VAEs for the IBP

imagereg

This is the code for our paper https://arxiv.org/abs/1703.05264

mind_2018

mirl

Multiple Imputation Randomized Lasso

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

pi-vae

Poisson Identifiable VAE (pi-VAE)

ssm

Bayesian learning and inference for state space models

teh-npbayes

Yee Whye Teh's code Nonparametric Bayesian Mixture Models - release 2.1 and Nonparametric Bayesian Mixture Models - release 1

vae-seq

Variational Auto-Encoders in a Sequential Setting.

vaeknockoff

This repository provide python and R code for training via deep latent variable model. Accompanying paper: https://arxiv.org/abs/1809.10765