NV-Raw2insights-MRI

Cosmos-H-Surgical

📹 A more flexible framework that can generate videos at any resolution and creates videos from images.

Cosmos-Transfer2.5, built on top of Cosmos-Predict2.5, produces high-quality world simulations conditioned on multiple spatial control inputs.

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

MONAI Model Zoo that hosts models in the MONAI Bundle format.

MONAI Tutorials

AI Toolkit for Healthcare Imaging

Open-Sora: Democratizing Efficient Video Production for All

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

MONAI Versatile Imaging Segmentation and Annotation

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

NVIDIA Federated Learning Application Runtime Environment

High-Resolution Image Synthesis with Latent Diffusion Models

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf)

Medical image processing in Python