242666's Stars
noimank/AnimalClassification
卷积神经网络ResNet进行动物10分类
nerfies/nerfies.github.io
xenova/transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
KindXiaoming/pykan
Kolmogorov Arnold Networks
YichiZhang98/SAM4MIS
SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary
11yxk/SAM-LST
Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.
bowang-lab/MedSAM
Segment Anything in Medical Images
CUHK-AIM-Group/UN-SAM
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
sunjesse/shape-attentive-unet
Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf published at MICCAI 2020.
adrelino/mv-lm-icp
Multiview Levenberg-Marquardt ICP
fixstars/cuda-bundle-adjustment
A CUDA implementation of Bundle Adjustment
zzdyyy/Patho-GAN
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
obiyoag/BayeSeg
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
ltlittlekk/OTTO
电棍游戏
llm-attacks/llm-attacks
Universal and Transferable Attacks on Aligned Language Models
GuangLun2000/COMAP-MCM-2024
数模美赛材料合集 COMAP MCM/ICM 2024
bolunwang/backdoor
Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.
longfeizheng/blockchain-java
🎉java简单实现区块链
didymo/OnkoDICOM
OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions. OnkoDICOM was inspired by dicompyler.