comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch

VirtMRI: Generate images for different MRI Sequences in your Browser. Written in JavaScript and C compiled to WebASM

Code for [MICCAI 2024] WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising.

Helical to fan-beam CT geometry rebinning and differentiable FBP of DICOM-CT-PD projections

Bilibili视频转文字，一步到位，输入链接即可使用

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis

ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…

VR project for interacting with DICOM data from CT scanned fractures

Noise2Sim is a general unsupervised deep denoising method.

Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction

A latent text-to-image diffusion model

Official code for the paper "EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction".

享受学习，乐于分享

Python Reconstruction Operators in Neural Networks. High level python API for PYRO-NN-Layers

Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)

[CVPR 2023] CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Repository for data science book

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-S…

ASTRA Tomography Toolbox

Algebraic Reconstruction Technique (ART)

Using Low-rank adaptation to quickly fine-tune diffusion models.

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

High-Resolution Image Synthesis with Latent Diffusion Models

a simple vae and cvae from keras

StyleGAN2-ADA - Official PyTorch implementation

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"