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AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
A curated list of awesome work on causal inference, particularly in machine learning.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
[ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Official implementation of Source-free and Black-box Domain Adaptation via Distributionally Adversarial Training (PR 2023)
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 classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
This repo holds the Pytorch codes and models for the BTH framework presented on CVPR 2021
[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
[Arxiv preprint] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
[ACM MM 2022] Towards Counterfactual Image Manipulation via CLIP
[IEEE TMI 2024] Contrastive Graph Pooling for Explainable Classification of Brain Networks
[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
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
A faster pytorch implementation of faster r-cnn
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
An official implementation of "On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations" (IPMI 2023)
Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)
This repository includes the code for HiCo (PyTorch version).
iBOT: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.