Andrew Chan's repositories
Learning_CS224w
My approach to CS224w [AT] Stanford 2019 : )
Learning_CS224N
My approach to CS224n [AT] Stanford 2019Winter -- Natural Language Processing with Deep Learning. 💡
LFhase.github.io
personal website
awesome-causality-algorithms
An index of algorithms for learning causality with data
2019-scalingattack
Image-Scaling Attacks and Defenses
awesome-DrugAI
Research repo for AI aided drug discovery, de novo drug development and related topics
awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
DomainBed
DomainBed is a suite to test domain generalization algorithms
DrugOOD
OOD Dataset Curator and Benchmark for AI-aided Drug Discovery
fish
Official implementation of paper Gradient Matching for Domain Generalization
Generalization-Causality
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
interpretable-ml-book
Book about interpretable machine learning
InterpretEval
Interpretable Evaluation for (Almost) All NLP Tasks
InvarianceUnitTests
Toy datasets to evaluate algorithms for domain generalization and invariance learning.
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
Recognizers-Text
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI. Partial support for NL, JA, KO, SV). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text
wikitextprocessor
Python package for WikiMedia dump processing (Wiktionary, Wikipedia etc). Wikitext parsing, template expansion, Lua module execution. For data extraction, bulk syntax checking, error detection, and offline formatting.
Workarounds-for-ARM-mac
This repository describes how I get most of my configurations work on the new Apple Silicon Mac