The Laboratory for Robust and Efficient Machine Learning

The Laboratory for Robust and Efficient Machine Learning's repositories

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

Language:PythonMIT109 3 8

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

Language:Jupyter NotebookMIT30 3 3

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

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Interactive ML Demos

Language:Jupyter NotebookBSD-2-Clause3 20

mHealth Lab streaming data framework

Language:JavaBSD-2-Clause1 10

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Language:PythonMIT010

Code for processing and visualizing the U01 versions of HeartSteps

Language:PythonBSD-3-Clause030

OpenMMLab Detection Toolbox and Benchmark

Language:PythonApache-2.0000

RL for JITAI optimization using simulated environments.

Language:PythonMIT020