Stars
[npj Digital Medicine'25] Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health
[ICLR 2025] Dist Loss: Enhancing Regression in Few-shot Region through Distribution Distance Constraint
A library to compute ECG signal quality indicators
Functions to map between ICD-10 terms and PheCodes for UK Biobank hospital electronic health records
Implementation of the paper LIMITR: Leveraging Local Information for Medical Image-Text Representation
⚡ TabPFN: Foundation Model for Tabular Data ⚡
This is the official code for "Multimodal Pretraining of Medical Time Series and Notes" at Machine Learning for Health 2023
Empowering MLLM for Grounded ECG Understanding with Time Series and Images [NeurIPS 2025]
Collection of AWESOME vision-language models for vision tasks
An electrocardiogram analysis foundation model.
Offical code of Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training[ICML 2024]
LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.
Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.
YaRN: Efficient Context Window Extension of Large Language Models
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264
[ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
Code for paper: Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices