Andrew Chan (LFhase)

LFhase

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Home Page:https://lfhase.win

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Andrew Chan's repositories

Learning_CS224w

My approach to CS224w [AT] Stanford 2019 : )

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CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

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PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

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GIA-HAO

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

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FeAT

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

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GALA

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

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Learning_CS224N

My approach to CS224n [AT] Stanford 2019Winter -- Natural Language Processing with Deep Learning. 💡

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GOOD

[SOTA results in GOOD benchmark🚀] CIGA Implementation under GOOD Benchamrk

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DI-star

OpenDILab Decision AI in StarCraftII

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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2019-scalingattack

Image-Scaling Attacks and Defenses

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awesome-DrugAI

Research repo for AI aided drug discovery, de novo drug development and related topics

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awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

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DomainBed

DomainBed is a suite to test domain generalization algorithms

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DrugOOD

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

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fish

Official implementation of paper Gradient Matching for Domain Generalization

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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

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graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

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interpretable-ml-book

Book about interpretable machine learning

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InterpretEval

Interpretable Evaluation for (Almost) All NLP Tasks

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InvarianceUnitTests

Toy datasets to evaluate algorithms for domain generalization and invariance learning.

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pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

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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

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StarCraft

Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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string-embed

😆 string embed for fast edit distance computation, codes for Convolutional Embedding for Edit Distance.

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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.

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Workarounds-for-ARM-mac

This repository describes how I get most of my configurations work on the new Apple Silicon Mac

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