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ahmedgh970/README.md

👋 Hi, I’m Ahmed

💻 Computer Vision Engineer at Ecole Polytechnique (l'X), France.

📚 Background: Hailing from STEM background with validated experience in applying machine learning and computer vision to industrial applications.

🌱 Current Focus: Currently designing and implementing diffusion models, with a focus on conditional image generation and traffic simulation.

🤝 Collaboration: Open to collaborations on impactful projects, especially those in healthcare and other high-impact fields.

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  1. e-dimt e-dimt Public

    An enhanced diffusion model with a Mamba-Transformer backbone for class-based image generation.

    Python

  2. nerv-plus-plus nerv-plus-plus Public

    Official Pytorch implementation of NeRV++: An Enhanced Implicit Neural Video Representation. Coming Soon !

    Python

  3. aict aict Public

    Official Tensorflow implementation of AICT: an Adaptive Image Compression Transformer.

    Python

  4. convnext-charm convnext-charm Public

    Official Tensorflow implementation of ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression.

    Python 4

  5. brain-anomaly-seg brain-anomaly-seg Public

    Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

    Python 21 3

  6. adversarial-training adversarial-training Public

    Adversarially Training of Autoencoders for Unsupervised Anomaly Segmentation

    Python 4