All the code used in our YouTube videos (starting from 2024 videos) can be found here.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)

Official Pytorch Implementation of Paper - Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation - NeurIPS 2024

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

Repository for the paper "Metadata Normalization"

Starting kit for the NeurIPS 2023 unlearning challenge

PMR: Prototypical Modal Rebalance for Multimodal Learning

A collection of resources and papers on Diffusion Models

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

Code of "Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform", published at MICCAI21

Code to train CLIP model

ImageBind One Embedding Space to Bind Them All

Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020

Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"

[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models

Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)

pytorch implementation of registration metric Normalized Gradient Field

Dynamic Affine Feature Map Transform

Code for the paper "Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders"

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Biomedical Image Analysis group of University of Eastern Finland software page

A Library of TensorFlow Operators for Computational MRI

Profiling and inspecting memory in pytorch