Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles

SR-DiT Speedrunning ImageNet Diffusion

PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

Official implementation of GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)

Open(MM)DiT: An Easy, Fast and Memory-Efficient System for (MM)DiT Training and Inference

Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch

A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

A comprehensive codebase for training and finetuning Image <> Latent models.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding

[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Official pytorch implementation of "AlphaFlow: Understanding and Improving MeanFlow Models"

A markup-based typesetting system that is powerful and easy to learn.

Partial Volume Correction in PET

Tools for white matter hyperintensity segmentation

Toy implementation simplified consistency models using the TrigFlow formulation.

PETPrep: A Robust Preprocessing Pipeline for PET Data

Generalised Flow Maps official implementation.

Official implementation of "SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions".

A tiny CPU simulator written in Python

Synthstrip integration to be used across nipreps

Repository of the paper "AnyUp: Universal Feature Upsampling".

BM-MAE: Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities

Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.

This is a PyTorch implementation of BrainMVP for mpMRI brain image analysis.

Code for MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis (MICCAI2025)