XuZikang

Awesome-MedIA-Fairness

A collection of papers in fairness of medical image analysis

FairAdaBN

The official Pytorch implementation of paper "FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification" accepted by MICCAI 2023

APPLE

Official implementation of "APPLE: Fair Medical Segmentation via Adversarial Protected-attribute-aware Perturbations on Latent Embeddings"

dify-schedule

Dify Schedule. 免费的Dify工作流定时助手，支持多渠道发送通知. A free automated scheduling solution for Dify, powered by GitHub Actions.

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

DailyArXiv

Daily ArXiv Papers.

DeepLearningInMedicalImagingAndMedicalImageAnalysis

eegsynth

Converting real-time EEG into sounds, music and visual effects

FairMedFM

gan-debiasing

Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)

GeneralizedMedSeg

Recent progress on domain adaption/generalization for medical image segmentation

Graduation-Project

HumanBalance

My work in 2018.7~2018.8

MachineLearning

Machine learning resources

MEDFAIR

MEDFAIR: Benchmarking Fairness for Medical Imaging

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

MedUncertainty

Uncertainty in Medical Image Analysis

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Stereo-Match-Paper-Reading

Include paper I read for stereo matching.

XuZikang

Config files for my GitHub profile.

XuZikang.github.io

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