- 🔭 I’m recently working on these repositories. Take a look if you are interested!
- 🚀 I’m always open for collaboration and you can find more about me via my personal website.
Name: Andrew Chan
Type: User
Company: Someplace
Bio: Ph.D. Candidate@CUHK
Location: Somewhere
Blog: https://lfhase.win
Image-Scaling Attacks and Defenses
Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers
An index of algorithms for learning causality with data
Research repo for AI aided drug discovery, de novo drug development and related topics
Papers about out-of-distribution generalization on graphs.
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
My solutions to some Competitive Programming-like problems in Codeforces, Code Jam, Kick Start, LeetCode etc.
OpenDILab Decision AI in StarCraftII
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
DomainBed is a suite to test domain generalization algorithms
OOD Dataset Curator and Benchmark for AI-aided Drug Discovery
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Official implementation of paper Gradient Matching for Domain Generalization
fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
[ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
[SOTA results in GOOD benchmark🚀] CIGA Implementation under GOOD Benchamrk
A curated list of adversarial attacks and defenses papers on graph-structured data.
隻言片語・於此匯聚 – Moments piled up. Live demo →
Book about interpretable machine learning
Interpretable Evaluation for (Almost) All NLP Tasks
Toy datasets to evaluate algorithms for domain generalization and invariance learning.
Linux shell for iOS
My approach to CS224n [AT] Stanford 2019Winter -- Natural Language Processing with Deep Learning. 💡
My approach to CS224w [AT] Stanford 2019 : )
personal website
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.