The Laboratory for Robust and Efficient Machine Learning

allofus-imputation

BayesLDM

BayesLDM

HeartStepsU01

Code for processing and visualizing the U01 versions of HeartSteps

hetvae

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

mhl-framework

mHealth Lab streaming data framework

MLDemos

Interactive ML Demos

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mTAN

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

rl_jitai_simulation

RL for JITAI optimization using simulated environments.

URSABench

Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"

reml-lab/mTAN

Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

reml-lab/hetvae

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

reml-lab/URSABench

Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"

reml-lab/MLDemos

Interactive ML Demos

reml-lab/mhl-framework

mHealth Lab streaming data framework

reml-lab/allofus-imputation

reml-lab/BayesLDM

BayesLDM

reml-lab/HeartStepsU01

Code for processing and visualizing the U01 versions of HeartSteps

reml-lab/mmdetection

OpenMMLab Detection Toolbox and Benchmark

reml-lab/rl_jitai_simulation

RL for JITAI optimization using simulated environments.