wh888s's starred repositories
Autoencoder
Convolutional Autoencoder with SetNet in PyTorch
unidiffuser
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
DSL_All_Code
Official implementation of paper "Mining Multi-Center Heterogeneous Medical Data with Distributed Synthetic Learning"
medicaldiffusion
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Diffusion-Models-for-Medical-Imaging
Diffusion Models for Medical Imaging
domain-transfer-network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Diffusion-Models-in-MedIA
A curated list of diffusion models in medical image analysis.
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Awesome-CT-Reconstruction
Awesome CT Reconstruction
awesome-federated-learning
A curated list of resources dedicated to federated learning.
awesome-federated-learning
resources about federated learning and privacy in machine learning
awesome-privacy-preserving-machine-learning
A curated list of awesome privacy preserving machine learning resources
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
DuneAI-Automated-detection-and-segmentation-of-non-small-cell-lung-cancer-computed-tomography-images
Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)
Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy