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HichTala/README.md

Hi there 👋

I'm Hicham a passionate PhD student with a focus on AI and vision, pursuing groundbreaking research and pushing the boundaries of knowledge.

Projects 💻

  • 🎨 Generating Logos using the DALL-E Model: This project involved creating a dataset using internet images and descriptions, then fine-tuning the DALL-E model on this dataset. (Python, PyTorch) Link to project

  • 📇 Card Detection and Recognition Algorithm: Developed an algorithm for detecting and recognizing collectible and playing cards, proposed for a 3D modeling project. This involved creating a dataset and fine-tuning a state-of-the-art model. (Python, PyTorch) Link to project

  • 🎮 Determining Key Factors for Winning in League of Legends: Used machine learning to determine the most important factors for winning in the popular video game League of Legends. This "artificial intelligence" can be used by professional players during their training to focus on the truly influential factors. (Python, pandas, scikit learn) - 2022 Link to project

  • 🧠 Scientific Article on Color Spaces and Similarity Functions for Fish-eye Camera Tracking: Submitted to the MDPI Journal Imaging, a scientific article comparing different color spaces with different similarity functions in the context of fish-eye camera tracking. (C++) - 2022 Link to article

Publications 📚

License 📜

All my projects are released under the MIT License. If you find them useful please feel free to drop me a note and cite the repositories.

Pinned Loading

  1. draw draw Public

    DRAW (Detect and Recognize A Wide range of cards) Object detector trained to detect Yu-Gi-Oh! cards in all types of images, and in particular in dueling images.

    Python 13

  2. diffusion-model-for-logo-generation diffusion-model-for-logo-generation Public

    1

  3. LeagueOfLegends-ML-Project LeagueOfLegends-ML-Project Public

    Jupyter Notebook

  4. mmsegmentation_flair-one_chalenge mmsegmentation_flair-one_chalenge Public

    Python