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81 followers · 5 following

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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: Dr.LLM: Dynamic Layer Routing in LLMs
  • 📰 Checkout my latest Python packages: DroneVis 👾.

I am currently working on developing efficienty-accurate LLM Dr.LLM, 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 113 10

  2. 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 34 1

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

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

    Python 309 16

  4. 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 49 3

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

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

    Python 60 5

  6. mbzuai-oryx/VideoMolmo mbzuai-oryx/VideoMolmo Public

    Official code of the paper "VideoMolmo: Spatio-Temporal Grounding meets Pointing"

    Python 54 3