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Hyunwhan Joe (hyunwhanjoe)

hyunwhanjoe

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Location:Seoul, South Korea

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Hyunwhan Joe's starred repositories

ngram

The n-gram Language Model

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fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 12 week course

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KnowledgeSharingPlatform

K# - Knowledge Sharing Platform

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XGBoost-From-Scratch

This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoost works under the hood

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bootstrap-scheme

A quick and very dirty Scheme interpereter.

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Awesome-LLM-KG

Awesome papers about unifying LLMs and KGs

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dcc

This is a heavily updated version of the old DOS executable decompiler DCC

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APMAlert

APMAlert for Starcraft: Brood War

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APMDisplay

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Chaoslauncher

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AutoSPARQL

Warning: Not working at the moment. Maintainer on parental leave. AutoSPARQL allows to create SPARQL queries over RDF knowledge bases from natural language with low effort.

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DUDES

Lightweight implementation of DUDES (Dependency-based Underspecified Discourse Representation Structures)

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word2vec-from-scratch-with-python

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

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pikachu-volleyball

Pikachu Volleyball implemented into JavaScript by reverse engineering the original game

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stoneknifeforth

a tiny self-hosted Forth implementation

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Mak_Writing_Compilers_and_Interpreters

Source for the books from Ronald Mak - Writing Compilers and Interpreters.

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narcissus

INACTIVE - http://mzl.la/ghe-archive - The Narcissus meta-circular JavaScript interpreter

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ejacs

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ai_debug_1161

Aiscript debug plugin

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ObsGraph

Windowing/Graphing Framework for Starcraft: Brood War

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my-crackmes

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Brick-Game-9999-in-1

Simple simulator of famous Brick Game handheld retro gaming console

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hacker-scripts

Based on a true story

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mpwt

Pathway Tools multiprocessing wrapper (for PathoLogic).

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NLP-Do-It-Yourself

Implement well-known NLP models from scratch with high-level APIs.

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dtree

This is the original code from my article "Building Decision Trees in Python" on the O'Reilly Network.

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OpenEA

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

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