yajie-zhang Goto Github PK

aau-net

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

abide

afa

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

attri-vae

Generating attribute-based interpretations from medical images

auto_lymph

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

awesome-causal-inference

A curated list of awesome work on causal inference, particularly in machine learning.

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

beta

[ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

bpda

Official implementation of Source-free and Black-box Domain Adaptation via Distributionally Adversarial Training (PR 2023)

breakhist-dataset-image-classification

BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.

breast_cancer_detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

breastcancermri

bth

This repo holds the Pytorch codes and models for the BTH framework presented on CVPR 2021

cal

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

causality-medical-image-domain-generalization

[Arxiv preprint] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

cf-clip

[ACM MM 2022] Towards Counterfactual Image Manipulation via CLIP

codoc

contrastpool

[IEEE TMI 2024] Contrastive Graph Pooling for Explainable Classification of Brain Networks

cowa-jmds

cyclemlp

[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"

dde_cil

deb

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

equiangular-basis-vectors

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcil

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

fcro-fair-classification-orthogonal-representation

An official implementation of "On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations" (IPMI 2023)

fedvssl

gbcnet