jasminezhen218 Goto Github PK
Name: Zhenzhen Wang
Type: User
Company: Johns Hopkins University
Bio: Ph.D. Student of Biomedical Engineering, Sulam Group, Johns Hopkins University
Location: Baltimore
Name: Zhenzhen Wang
Type: User
Company: Johns Hopkins University
Bio: Ph.D. Student of Biomedical Engineering, Sulam Group, Johns Hopkins University
Location: Baltimore
A collection of important graph embedding, classification and representation learning papers with implementations.
"Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns from Breast Multiplexed Digital Pathology"
Bi-level graphs bridged by Graph Kernels for unveiling Prognosis-relevant Tumor Microenvironment Patterns.
A machine-learning based computational method for automatic estimation of necrosis ratio in pathology images of osteosarcoma
This is a repository to introduce classic technicals in computer vision and provide related demo. The insights and knowledge come from CS664 Sp2020(Johns Hopkins University).
This repository is the collection of research papers in Deep learning, computer vision and NLP.
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
A github repo for the Data Science in Public Health and Biomedical Engineering Course
Project realized as part of a course of Compressed Sensing at ENSAE.
A Generalized Weisfeiler-Lehman Graph Kernel
A scikit-learn compatible library for graph kernels
A package for computing Graph Kernels
Generating highly accurate pathology reports from gigapixel whole slide images with HistoGPT
This repository includes generated data and codes for paper: 'Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer based on nuclear morphology and tissue architecture'.'
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
PyTorch implementation of DGCNN
The Single-Cell Pathology Landscape of Breast Cancer
A project of CS601.475 Machine Learning (JHU) that aims to recognize alphabetic letters in American Sign Language.
The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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.