Gemego

ICPRVessels

SegFormer3D

Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR2024)

LINGMI-MR

A geometry-aware deep network for depth estimation in monocular endoscopy

depth-fm

DepthFM: Fast Monocular Depth Estimation with Flow Matching

MC-Net

Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"

med-ddpm

TRFE-Net-for-thyroid-nodule-segmentation

[ISBI'21, CBM'22] TRFE-Net for thyroid nodule segmentation

medimeta-pytorch

The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides code for working with the MIMeta Dataset as well as simple baselines.

awesome-medical-image-papers

generative-models

Generative Models by Stability AI

mamba.py

A simple and efficient Mamba implementation in pure PyTorch and MLX.

ReTree

Denoising Diffusion Probabilistic Model for retinal image generation

linux-insides-zh

Linux 内核揭秘

linux_kernel_wiki

linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

leetcode

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

linux-insides

A little bit about a linux kernel

LaVie

LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

brpc

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

KuiperInfer

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

GenerateCT

ECCV 2024 & GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

ddia

《Designing Data-Intensive Application》DDIA中文翻译

project-based-learning

Curated list of project-based tutorials

Idempotent-Generative-Network

Idempotent Generative Network's unofficial pytorch implementation

PUMIT

llama.cpp

LLM inference in C/C++

GVSL

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.