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Name: Xiaohan Xing
Type: User
Company: Stanford University
Bio: I'm a Postdoctoral researcher at the department of Radiation Oncology, Stanford University.
Location: Palo Alto, CA
Name: Xiaohan Xing
Type: User
Company: Stanford University
Bio: I'm a Postdoctoral researcher at the department of Radiation Oncology, Stanford University.
Location: Palo Alto, CA
A curated (most recent) list of resources for Learning with Noisy Labels
A curated list of resources for Learning with Noisy Labels
Reading list for research topics in multimodal machine learning
Trained model and inference code for early triage of critically-ill COVID-19 patients.
The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Xiaohan Xing's homepage
Code for ICCV 2021 paper "Distilling Holistic Knowledge with Graph Neural Networks"
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
HUMUS-Net: a Transformer-convolutional Hybrid Unrolled Multi-Scale Network architecture for accelerated MRI reconstruction
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
Supplementary code for the paper "Hyperbolic Image Embeddings".
code for paper isbi-2019
Code for reproducing Manifold Mixup results (ICML 2019)
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Reading list on deep learning
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Deep Learning based cell composition analysis with Scaden.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
Tensorflow implementations of state-of-the-art WCE classification algorithms
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.