kangluoyao

kangluoyao's Stars

• pengsida/learning_research

  本人的科研经验

  4.8k297

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook13.6k1.2k

• ouyangjiahong/longitudinal-direction-disentangle

  "Disentangling Normal Aging from Severity of Disease via Weak Supervision on Longitudinal MRI", IEEE Transactions on Medical Imaging

  Language:Python73

• MIC-DKFZ/nnUNet

  Language:Python5.3k1.6k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python51.3k5.3k

• cvlab-stonybrook/SelfMedMAE

  Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

  Language:Python858

• lhaof/nnMamba

  Language:Python413

• FirasBaba/brain-tumor-radiogen

  Language:Python4612

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.1k148

• shvmkmr/Image-classification-3d

  Radiogenomic image classification of MGMT promoter methylation status in glioblastoma patients

  Language:Python21

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook2.4k320

• Ma-Lab-Berkeley/CRATE

  Code for CRATE (Coding RAte reduction TransformEr).

  Language:Python1.1k89

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.7k659

• kangluoyao/VAP_Former

  [MICCAI-2023]Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction

  Language:Python15

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.8k518

• yeerwen/UniSeg

  MICCAI 2023 Paper (Early Acceptance)

  Language:Python1546

• lhaof/ASC

  Language:Python5

• lhaof/VAPL

  Language:Python2

• McSpooder/camull-net

  A 3D convolutional neural network for the classification of Alzheimer's disease and its precursor Mild Cognitive Impairement.

  Language:Python4312

• kangluoyao/nnUNet

  1

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python5.6k503

• yandex-research/ddpm-segmentation

  Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

  Language:Python64157

• DuYooho/ArSDM

  [MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

  Language:Python282

• openai/guided-diffusion

  Language:Python5.9k780

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3k465

• zoubohao/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.

  Language:Python1.4k155

• FirasGit/medicaldiffusion

  Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

  Language:Jupyter Notebook28251

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.5k959

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python3.4k345

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python6.9k1.2k