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a-bit-more-bayesian

Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty

bayesian-invariant-risk-minmization

This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

dl-4-tsc

Deep Learning for Time Series Classification

driverbehaviordataset

ecorrs

We analyzed EHR data with two methods, LASSO-regularized linear regression and XGBoost classification trees, to predict intubation within the next 48 hours for patients hospitalized with COVID-19.

featuretimeattention

Code for AMIA 2023 Poster

hirid-icu-benchmark

Repository for the HiRID ICU Benchmark (HiB) project

invariantriskminimization

PyTorch code to run synthetic experiments.

irmbed

This is the project for IRM methods

omnixai

OmniXAI: A Library for eXplainable AI

openxai

OpenXAI : Towards a Transparent Evaluation of Model Explanations

overleaf

A web-based collaborative LaTeX editor

pair

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-transformer

Attention is all you need implementation

spungit

Config files for my GitHub profile.

synthea

Synthetic Patient Population Simulator

tpc-los-prediction

This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

windowshap

A model-agnostic framework for explaining time-series classifiers using Shapley values