rvandewater

.github

anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

CASS-PROPEL

Complete evaluation of traditional "SK-learn like" machine learning models for post-operative complications This repository serves to evaluate the performance of traditional machine learning models available from Scikit-learn for the prediction of post-operative complications.

GUIDataFarm

🧑‍🌾Expand your Training Limits! Human-in-the-Loop guided Training Data Generation for ML-based Data Management

MEDS-DEV-AUMC

Platform for Inductive Experiments over Medical Data

ReciPys

🥧ReciPys: easily define and execute preprocessing and feature engineering steps on Polars and Pandas dataframes.

YAIB

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

YAIB-cohorts

🏥Generate task cohort for the YAIB framework.

YAIB-models

🧠Models trained for the publication of Yet Another ICU Benchmark

rvandewater/YAIB

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

rvandewater/YAIB-cohorts

🏥Generate task cohort for the YAIB framework.

rvandewater/ReciPys

🥧ReciPys: easily define and execute preprocessing and feature engineering steps on Polars and Pandas dataframes.

rvandewater/CASS-PROPEL

Complete evaluation of traditional "SK-learn like" machine learning models for post-operative complications This repository serves to evaluate the performance of traditional machine learning models available from Scikit-learn for the prediction of post-operative complications.

rvandewater/YAIB-models

🧠Models trained for the publication of Yet Another ICU Benchmark

rvandewater/MEDS-DEV-AUMC

Platform for Inductive Experiments over Medical Data

rvandewater/.github

rvandewater/anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

rvandewater/auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

rvandewater/Circle-of-Life

A game in Haskell

rvandewater/EasyTemporalPointProcess

EasyTPP: Towards Open Benchmarking the Temporal Point Processes

rvandewater/GUIDataFarm

🧑‍🌾Expand your Training Limits! Human-in-the-Loop guided Training Data Generation for ML-based Data Management

rvandewater/HiTANet_ICU

rvandewater/EventStreamGPT

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

rvandewater/functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

rvandewater/IMDb-Flink-Jobs

rvandewater/IMDB_Jobs_DataFarm

rvandewater/MEDS_TAB_AUMC

rvandewater/MEDS_Tabular_AutoML

Limited automatic tabular ML pipelines for generic MEDS datasets.

rvandewater/recipys-paper

Tools to create JOSS/JOSE publishing artifacts

rvandewater/rvandewater

Readme for me.

rvandewater/rvandewatersite

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

rvandewater/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface. Includes latest fixes for NumPy 1.24 compatibility

rvandewater/xmen

✖️MEN - A Modular Toolkit for Cross-Lingual Medical Entity Normalization