Tiankai Xie (tiankaixie)

tiankaixie

Geek Repo

Company:Arizona State University

Location:Tempe, Arizona

Home Page:tiankaixie.com

Twitter:@tiankaixie

Github PK Tool:Github PK Tool

Tiankai Xie's repositories

personal_profile

Personal CV profile based on Next.js and TailwindCSS

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create-fullstack-vis-app

Framework for creating a fullstack visualization app

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ai_papers_scrapper

Download papers pdfs and other info from main AI conferences

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ASU-Dissertation

Arizona State University Dissertations

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auditing-sensitivity-graph-ranking

Source code of paper "Auditing the Sensitivity of Graph-based Ranking with Visual Analytics"

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coding_practice_archive

Archives for practiced algorithm problems

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deep_Mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

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dotfiles

All dot files configurations

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fairrankvis

Source code of paper "FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models"

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fui.nvim

Futuristic color scheme for neovim

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homepage

Actively developing, it is going to be a lots of good stuff.

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leet-code-practice-book

Practice the leetcode

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bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

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dataflow-reactor

The morden fullstack web app template

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DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

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ImageNet-Datasets-Downloader

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

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lualine.nvim

A blazing fast and easy to configure neovim statusline plugin written in pure lua.

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markdown-resume

Create/Update your resume in markkdown, and easily convert to HTML or PDF

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openreview_scraper

Scrape papers from OpenReview using OpenReview API

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profiles

Personal website

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profiles-template

Personal website

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ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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tiankaixie.github.io

personal website

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