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BounharAbdelaziz/README.md

Hi there 👋

I am a 2nd year PhD. student at Télécom Paris. I am supervised by Professor Michèle Wigger and Professor Mireille Sarkiss. We are working on a reaserch project on Deep Reinforcement Learning on Information-Theoretic Limits of Future Networks.

Durring my free time, I like to work on side projects related to deep learning.

My GitHub stats

🔭 My works includes:

Readme Card

Readme Card

And other private repositories 🤐

Repository
Semantic communication with deep learning.
Deep Learning to solve the non-linear Schrödinger equation for Telecommunication problem.
Battery health prediction using deep learning.

Upcoming projects:

  • Orthorgonalization with Neural Networks (done most of the experiments).
  • Satellite Image Semantic Segmentation And Domain Adaptation (as part of the FLAIR contest) (on-going).
  • Sattelite Image Super-Resolution.
  • Active noise cancelation with deep learning.

📫 Reach me via bounhar.abdelaziz@gmail.com or LinkedIn

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  1. Python-For-Data-Science Python-For-Data-Science Public

    Using Machine Learning and Deep Learning algorithms and technics to train models using Python librairies such as Scikit-Learn, Tensorflow, Pandas, Numpy, Matplotlib..

    Jupyter Notebook 1

  2. User-Profiling User-Profiling Public

    In order to provide diverse, tailored and targeted solutions to a member, the system needs to get to know it better. The more active the person is on the social network, the more the system will le…

    Jupyter Notebook 1

  3. Deep-Learning---Optimizers-and-Neural-Networks Deep-Learning---Optimizers-and-Neural-Networks Public

    Jupyter Notebook

  4. Principal-Component-Analysis-and-Boosting Principal-Component-Analysis-and-Boosting Public

    Jupyter Notebook

  5. Generative-Adversarial-Networks Generative-Adversarial-Networks Public

    This repository contains some experiences related to Generative Modeling with Generative Adversarial Nets

    Jupyter Notebook

  6. Neural-Style-Transfer Neural-Style-Transfer Public

    This repository contains some experiments with Neural style transfer to applied to images

    Python