Auroradsy's Stars
HennyJie/BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
vlawhern/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
openmedlab/Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
HenryCai11/LLM-Self-Control
The official repo of paper "Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller"
linhandev/dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
dino-chiio/blip-vqa-finetune
This is implementation of finetuning BLIP model for Visual Question Answering
MLGroup-JLU/LLM-data-aug-survey
The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
chapin666/books
Awesome Books
52CV/CVPR-2023-Papers
NITR098/Awesome-U-Net
Official repo for Medical Image Segmentation Review: The success of U-Net
Torchlight-ljj/DSMT-Net
DSMT-Net code
Beckschen/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
jonathanmli/Avalon-LLM
This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
Zeqiang-Lai/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Bernard-Yang/CMN-ACL2023
HenryCai11/Knowledge-Augmented-Language-Models
A survey and paper-list of Knowledge-Augmented Language Models
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
Haoteng0612/GraphSeg_PSGR
This is the code for Pixel-wise Sparse Graph Reasoning.
beamandrew/medical-data
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
xingchenwan/grabnel
[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)
mujm/CCS21_GNNattack
A hard label black-box adversarial attack against graph neural network
EdisonLeeeee/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.