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SARMAD-ALI-cyber/README.md

πŸ’« About Me:

I am currently working as a Deep-Learning researcher at the Optical
Networks and Technologies Lab, mainly focusing on techniques like
Knowledge Distillation, Federated Learning, Transfer Learning, and now
focusing on Diffusion Models.

🌐 Socials:

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πŸ’» Tech Stack:

C C++ Java Python Anaconda MySQL MongoDB Keras TensorFlow PyTorch Pandas NumPy Matplotlib scikit-learn

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

πŸ” Top Contributed Repo


Pinned

  1. U_Net_Architecture U_Net_Architecture Public

    Jupyter Notebook

  2. Car-Wheels-Detection-Using-Transformers- Car-Wheels-Detection-Using-Transformers- Public

    In this research we have explored how we can make sensors able to detect car wheels using highly intelligent models. This research also explored the use Attention Mechanism and we can make our mode…

    Jupyter Notebook

  3. Knowledge-Distillation-Based-QOT-Estimation-in-Optical-Networks Knowledge-Distillation-Based-QOT-Estimation-in-Optical-Networks Public

    In this research project we have explored Knowledge Distillation for QOT Estimation in Optical Networks. This research gives great idea how we can extract knowledge from large models to teach our s…

    Jupyter Notebook 1

  4. Transfer-Learning-based-QOT-Estimation-of-an-Unestablished-Lightpath Transfer-Learning-based-QOT-Estimation-of-an-Unestablished-Lightpath Public

    In this research we have explored Transfer Learning and how we can use it for QOT Estimation of an Unestablished Lightpath. This research aims to provide idea that how we can use models trained on …

    Jupyter Notebook

  5. Reusable-Embeddings Reusable-Embeddings Public

    This tutorial will help you to better understand the concept of embeddings and how reusable embeddings work.

    Jupyter Notebook

  6. NEURAL-MACHINE-TRANSLATION-NMT NEURAL-MACHINE-TRANSLATION-NMT Public

    Jupyter Notebook