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Starting code for the GildedRose Refactoring Kata in many programming languages.

C 2.56% C++ 3.61% Makefile 2.52% Shell 0.39% Java 2.89% R 2.03% Smalltalk 5.65% CMake 0.55% C# 2.80% Haskell 2.49% HTML 2.10% JavaScript 57.01% CSS 1.36% Perl 2.81% PHP 2.46% PLSQL 2.92% Python 2.19% Ruby 2.21% Scala 1.45%

gildedrose-refactoring-kata's Introduction

🌐 whereami

  • 2019-- : Applying Science at the Microsoft Translator team.

Disclaimer: **Nothing** in my profile, repositories, commits, posts, or responses is related to or represents the interests or opinions of any of my employers unless otherwise **explicitly** noted.

📃 Publications

Year Title Tags Authors Links
2021 Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task EACL, WANLP (2021); Dialect Classification; SOTA Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy, Khaled Essam conf., RG
2020 Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization COLING, WANLP (2020); Diacritization; SOTA Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr conf., arXiv, code, PWC
2020 Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions WMT (2020); Low Resource Muhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify, Ahmed Tawfik, Hany Hassan Awadalla conf.

🍽 whats-cooking

Low resource learning

  • Meta learning
  • Data filtering
  • Curriculum learning

Machine intelligence: fast and slow

  • Classical (nimble) expert systems
  • Modern (slow, lumbering) machine learning systems
  • Combining both
  • Sequence/behavior modeling

Programming language theory

  • Adding refinement typing and logical typing to hobby language
  • Writing compiler of hobby language

gildedrose-refactoring-kata's People

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