simonprovost / Auto-SklongLinks
☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA
☆22Updated 4 months ago
Alternatives and similar repositories for Auto-Sklong
Users that are interested in Auto-Sklong are comparing it to the libraries listed below
Sorting:
- ☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning …☆35Updated 3 weeks ago
- A Python toolkit for biomedical data integration and harmonization☆10Updated this week
- The MEDS Decentralized Extensible Validation (MEDS-DEV) Benchmark: Establishing Reproducibility and Comparability in ML for Health☆26Updated last week
- A simple set of MEDS polars-based ETL and transformation functions☆33Updated this week
- Introducing A.I. - Workshop to discover Genetic Algorithm☆14Updated 3 years ago
- Workflow to generate interactive feature selection report for cross-sectional or longitudinal studies☆9Updated 3 weeks ago
- Schema definitions and Python types for Medical Event Data Standard, a standard for medical event data such as EHR and claims data☆62Updated 3 weeks ago
- Limited automatic tabular ML pipelines for generic MEDS datasets.☆17Updated 3 weeks ago
- A collection of ETLs from common data formats to Medical Event Data Standard☆29Updated this week
- Resources for Machine Learning Explainability☆78Updated 9 months ago
- ☆19Updated last month
- [ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams☆33Updated this week
- Workshop to discover Neural Network through the subject of identify the genre of a music☆12Updated 3 years ago
- SurvTRACE: Transformers for Survival Analysis with Competing Events☆53Updated last year
- A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.☆149Updated 2 months ago
- CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks☆35Updated 2 weeks ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆87Updated last year
- OMOP standardization pipeline for ICU databases☆41Updated 3 months ago
- FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health record…☆143Updated this week
- Repository for the HiRID ICU Benchmark (HiB) project☆56Updated last year
- 🗺️ Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-…☆44Updated last week
- The repo consists of a Python package that works with functional data. In particular, it includes two distinct methodologies: Functional …☆13Updated last month
- ☆18Updated 3 years ago
- MIMIC (Medical Information Mart for Intensive Care) is a large, single-center database comprising information relating to patients admitt…☆78Updated last week
- ☆70Updated 3 months ago
- A toolkit for evaluating and monitoring AI models in clinical settings☆85Updated this week
- Modelling human health trajectories using generative transformers☆31Updated this week
- circEWS public code☆69Updated 7 months ago
- ☆21Updated this week
- ☆40Updated 3 years ago