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LUMC
- Leiden
- https://knevel-lab.github.io/
Stars
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Simple criteria to identify the Joint involvement groups in RA
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
codebase for the paper: Time-independent disease state identification defines distinct trajectories determined by localized versus systemic inflammation in early RA patients.
SoTA open-source TTS for Audiobook and Podcast Generation
Cast different EHR (electronic health record) layers to a shared latent space to identify patient subtypes
A beautiful, simple, clean, and responsive Jekyll theme for academics
Repository featuring models for the prediction of Joint Involvement Patterns (JIP) in Rheumatoid arthrtitis
Anthropic's Interactive Prompt Engineering Tutorial
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
A Comparative Framework for Multimodal Recommender Systems
codebase for the paper: Time-independent disease state identification defines distinct trajectories determined by localized versus systemic inflammation in early RA patients.
real time face swap and one-click video deepfake with only a single image
Code for finetuning TabPFN on one downstream tabular dataset.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
levrex / ELISA-APP
Forked from SheepInMeadow/ELISA-APPA tool for processing ELISA Reader output, developed for the Rheumatology department at Leiden University Medical Centre.
BERTje is a Dutch pre-trained BERT model developed at the University of Groningen. (EMNLP Findings 2020) "What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and…
Negation detection in Dutch clinical text.
R package implementing the statistical plausibility framework
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.