hengshiyu

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

cvcrand

An R package for covariate-constrained randomization and clustered permutation test for cluster randomized trials

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

geeCpp

A C++ package for generalized estimating equations (GEE)

geeCRT

An R package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials

hengshiyu

hengshiyu.github.io

Build a Jekyll blog in minutes, without touching the command line.

stochastic-Q-learning

Stochastic Q Learning for Estimation on Dynamic Treatment Regimes for Reinforcement Learning

MichiGAN

Learning disentangled representations of single-cell data for high-quality generation

PerturbNet

PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation

hengshiyu/geeCRT

An R package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials

hengshiyu/chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

hengshiyu/cvcrand

An R package for covariate-constrained randomization and clustered permutation test for cluster randomized trials

hengshiyu/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

hengshiyu/geeCpp

A C++ package for generalized estimating equations (GEE)

hengshiyu/hengshiyu

hengshiyu/hengshiyu.github.io

Build a Jekyll blog in minutes, without touching the command line.

hengshiyu/stochastic-Q-learning

Stochastic Q Learning for Estimation on Dynamic Treatment Regimes for Reinforcement Learning

hengshiyu/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

hengshiyu/Random-Forest-Kernel

Random forest kernel: nonparametric learning of kernel causal effects

hengshiyu/scgen

Single cell perturbation prediction

hengshiyu/scvi-tools

Deep probabilistic analysis of single-cell omics data

hengshiyu/umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.