MIRA: Medical Time Series Foundation Model for Real-World Health Data

UKB RAP Notebooks contains a collection of examples of how to use UK Biobank Research Analyses Platform (RAP).

ECG-FM-Benchmarking is a repository for benchmarking ECG foundation models across 12 public datasets and 26 clinically relevant tasks.

CSEDB - Clinical Safety-Effectiveness Dual-Track Benchmark

Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"

The free-forever GUI library

Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.

[NeurIP'22] OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Modelling human health trajectories using generative transformers

Deep learning-based segmentation framework for automated spleen length measurement from ultrasound images, achieving human-level accuracy with a modified U-Net and PCA-based post-processing.

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Reference PyTorch implementation and models for DINOv3

Leveraging Large Language Models to Assess Overall and Organ-specific Aging in Diverse Populations

The offical repo of "Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives"

[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, & Rohan Khera

[NEJM AI 2025] This is the official implementation of our paper "An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains".

A Large ECG-Language Model for Cardiac Disease Diagnosis

Resource library for getting started with deep learning work using electrocardiograms

This repo contains the code for 1D tokenizer and generator

[ICLR 2025] The official implementation of our paper "Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model".

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

Discovering Interpretable GAN Controls [NeurIPS 2020]

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models