Projects in Awesome Lists by vanderschaarlab
A curated list of projects in awesome lists by vanderschaarlab .
https://github.com/vanderschaarlab/synthcity
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
data-augmentation fairness-ml generative-model machine-learning privacy pytorch synthetic-data tabular-data
Last synced: 16 May 2025
https://github.com/vanderschaarlab/mlforhealthlabpub
Machine Learning and Artificial Intelligence for Medicine.
deep-learning healthcare machine-learning
Last synced: 12 Apr 2025
https://github.com/vanderschaarlab/hyperimpute
A framework for prototyping and benchmarking imputation methods
data-science imputation imputation-algorithm machine-learning machine-learning-prerequisites preprocessing-data python scikit-learn
Last synced: 07 Apr 2025
https://github.com/vanderschaarlab/autoprognosis
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
automl healthcare interpretability survival-analysis
Last synced: 16 May 2025
https://github.com/vanderschaarlab/clairvoyance
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/temporai
TemporAI: ML-centric Toolkit for Medical Time Series
automl machine-learning medicine time-series
Last synced: 07 Oct 2025
https://github.com/vanderschaarlab/interpretability
Resources for Machine Learning Explainability
Last synced: 04 Mar 2025
https://github.com/vanderschaarlab/survivalgan
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
gan pytorch survival-analysis synthcity synthetic-data
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/datagnosis
A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/synthetic-data-lab
A repository containing the materials required to complete the "AAAI Lab for Innovative Uses of Synthetic Data". This includes tutorials on how to use the library "Synthcity" for improving the fairness and privacy of a dataset as well as for augmenting a small dataset using some other similar datasets.
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/ml-as-prostate-cancer
Code repository for paper "Development and clinical utility of machine learning algorithms for dynamic longitudinal real-time estimation of progression risks in active surveillance of early prostate cancer"
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/ccaim-synthetic-data-tutorial
The GitHub Repo for the hands-on session at NLDL entitled "Tutorial: Innovative Uses of Synthetic Data Tutorial".
Last synced: 03 Mar 2026
https://github.com/vanderschaarlab/invase
INVASE: Instance-wise Variable Selection . For more details, read the paper "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.
interpretability machine-learning machine-learning-algorithms machine-learning-interpretability pytorch xai
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/temporai-clinic
Interactive web app for prototyping ML for medicine and healthcare in the real world
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/autoprognosis-multimodal
AutoPrognosis with imaging data
Last synced: 27 Jul 2025
https://github.com/vanderschaarlab/clairvoyance2
clairvoyance2: a Unified Toolkit for Medical Time Series
ai artificial-intelligence healthcare individualized-treatment-effect interpretability interpretable-machine-learning machine-learning medicine survival-analysis time-series time-series-analysis time-series-prediction treatment-effects
Last synced: 14 May 2026
https://github.com/vanderschaarlab/d-code-iclr-2022
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Last synced: 28 Apr 2025
https://github.com/vanderschaarlab/temporai-mivdp
TemporAI-MIVDP: Adaptation of MIMIC-IV-Data-Pipeline for TemporAI
Last synced: 17 Jun 2026
https://github.com/vanderschaarlab/hide-and-seek-submissions
Repository of NeurIPS 2020 "Hide-and-Seek" competition submissions.
Last synced: 18 Jun 2026
https://github.com/vanderschaarlab/synthcity-benchmark
This is the repository for "Synthcity: a benchmark framework for diverse use cases of tabular synthetic data".
Last synced: 18 Jun 2026
https://github.com/vanderschaarlab/allsim
Systematic Simulation and Benchmarking of Repeated Resource Allocation Policies in Multi-User Systems with Varying Resources
Last synced: 11 Jul 2026
https://github.com/vanderschaarlab/.github
The van der Schaar Lab: Machine learning and AI for medicine
Last synced: 19 Mar 2026