vanderschaarlab Goto Github PK

.github

The van der Schaar Lab: Machine learning and AI for medicine

3s-testing

accountable-offline-rl

activeobservingincontinuous-timecontrol

Active Observing in Continuous-time Control

allsim

Systematic Simulation and Benchmarking of Repeated Resource Allocation Policies in Multi-User Systems with Varying Resources

autoprognosis

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

cars

This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human concepts. For more details, please read our NeurIPS 2022 paper: 'Concept Activation Regions: a Generalized Framework for Concept-Based Explanations.

catenets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

cateselection

Sklearn-style implementations of model selection criteria for CATE estimation

clairvoyance

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

clairvoyance2

clairvoyance2: a Unified Toolkit for Medical Time Series

compcate

Code to replicate the results in the AISTATS23 paper "Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data" (Curth & van der Schaar, 2023)

composite-feature-selection

Official Code for the paper: "Composite Feature Selection using Deep Ensembles"

conformal-rnn

Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.

cvar_sensing

d-cipher

d-code-iclr-2022

D-CODE: Discovering Closed-form ODEs from Observed Trajectories

d-struct

dagnosis

data-centric-synthetic-data

Code for the paper: Reimagining Synthetic Data Generation through Data-Centric AI: A Comprehensive Benchmark (NeurIPS 2023)

data-iq

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

data-suite

Data-SUITE: Data-centric identification of in-distribution incongruous examples

datagnosis

A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.

decaf

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

deep_generative_ensemble

deepgenerativesymbolicregression

Deep Generative Symbolic Regression Code

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

demo-interpretability

demo-simplex-pub

domias

DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.