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ahmedgh970/README.md
👋 Hi, I’m AHMED,
💻 AI research scientist specialized in computer vision at FX-Conseil - école polytechnique, FRANCE.
📚 Hailing from STEM background with validated experience in data science and artificial intelligence projects for research and industrial applications.
🌱 Currently working on denoising diffusion models (DDMs) for image generation.
🤝 Looking to collaborate on healthcare projects.

Popular repositories

  1. Transformers_Unsupervised_Anomaly_Segmentation Transformers_Unsupervised_Anomaly_Segmentation Public

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

    Jupyter Notebook 20 3

  2. Autoencoders_Adversarial_Training_UAD Autoencoders_Adversarial_Training_UAD Public

    Adversarially Training of Autoencoders for Unsupervised Anomaly Segmentation

    Jupyter Notebook 5

  3. ConvNeXt-ChARM ConvNeXt-ChARM Public

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

    Python 5

  4. AICT AICT Public

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

    Python 3

  5. ahmedgh970 ahmedgh970 Public

    Config files for my GitHub profile.

  6. NeRV-plus-plus NeRV-plus-plus Public

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