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Name: Haoxin Li
Type: User
Company: Harvard University
Bio: graduate researcher in the intersection of Graph Neural Network and bio-medicine
Name: Haoxin Li
Type: User
Company: Harvard University
Bio: graduate researcher in the intersection of Graph Neural Network and bio-medicine
https://harvard-iacs.github.io/2019-CS109A/
Homeworks
Simple script for digitizing the plots in .pdf files from Google's "Community Mobile Reports".
A course project to re-purpose FDA approved drugs for COVID-19 using GNN
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Distributed Deep learning with Keras & Spark
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Repository for all labs for STAT115 for 2020
Geometric Deep Learning Extension Library for PyTorch
Working with and analyzing Wikipedia Data
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.