8000 ahmedheakl (Ahmed Heakl) · GitHub
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Achievement: StarstruckAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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ahmedheakl/README.md

I'm a Machine Learning, Deep Learning, Web, and Mobile Developer!!

  • 👋 Hi, I’m @ahmedheakl
  • 👀 I’m interested in Computer Vision 🧠, NLP 🌐, Software Engineering 📱
  • 🌱 I’m currently learning GUI agents 🎼.
  • 👨‍💼 I'm employed as a full-time Research Scientist at a German Lab 🇩🇪 Parameter Lab 🌍 .
  • 👯 I’m always looking to collaborate with other researchers in the field of Deep Learning
  • 📰 Checkout my latest publish paper: CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
  • 📰 Checkout my latest Python packages: DroneVis 👾.

I am currently working on developing a an OCR models KITAB-Bench, Multilingual Models AIN, reinforcement learning for multiple vehicles optimizations SVRPBench, and GPU-to-GPU translation using LLMs CASS.

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  1. drone-vis drone-vis Public

    Full compatible drone library to automate computer vision algorithms on parrot drones.

    Python 106 9

  2. arazn-llm arazn-llm Public

    Code-Switched translations with Large Language models

    Python 21

  3. mbzuai-oryx/Camel-Bench mbzuai-oryx/Camel-Bench Public

    [NAACL 2025 🔥] CAMEL-Bench is an Arabic benchmark for evaluating multimodal models across eight domains with 29,000 questions.

    Python 31 1

  4. mbzuai-oryx/LlamaV-o1 mbzuai-oryx/LlamaV-o1 Public

    [ACL 2025 🔥] Rethinking Step-by-step Visual Reasoning in LLMs

    Python 301 16

  5. mbzuai-oryx/AIN mbzuai-oryx/AIN Public

    AIN - The First Arabic Inclusive Large Multimodal Model. It is a versatile bilingual LMM excelling in visual and contextual understanding across diverse domains.

    HTML 42 1

  6. mbzuai-oryx/KITAB-Bench mbzuai-oryx/KITAB-Bench Public

    [ACL 2025 🔥] A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding

    Python 39 2

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