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Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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amustafa9/README.md

Hi there 👋

  • 🔭 I am a Staff Analytics Engineer and Research Scientist at Occidental Petroleum where I work on developing advanced deep learning solutions for subsurface exploration.
  • 🌱 In particular, my background lies in analyzing 2D and 3D signals commonly found in various domains such as computer vision, medical image analysis, and seismic exploration.
  • 👯 I’m looking to collaborate on methods improving the imaging and interpretation of visual signals in the above mentioned domains.
  • ⛹ You can reach me at my email [email protected].
  • 🏠 Check out my website for a fuller description of my works
  • 📚 Check out the full list of my publications on my Google Scholar profile

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  1. spatial-joint-inversion-tcn spatial-joint-inversion-tcn Public

    Contains codes for our paper titled ''Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness" accepted to Geophysics.

    Python 10 3

  2. tcn-seismic-inversion tcn-seismic-inversion Public

    The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Tech…

    Python 7 5

  3. Facies-Segmentation-SEG-ML-Contest-2020 Facies-Segmentation-SEG-ML-Contest-2020 Public

    Contains Codes for Facies Classification on Parihaka Dataset as released by SEG for the ML contest 2020

    Jupyter Notebook 2

  4. active-learning-interpretation active-learning-interpretation Public

    Forked from olivesgatech/active-learning-interpretation

    Contains codes for our work on active learning on seismic interpretation.

    Python

  5. attention-fault-interpretation attention-fault-interpretation Public

    Forked from olivesgatech/attention-fault-interpretation

    Repo contains codes for our paper on modeling visual attention for seismic fault interpretation.

    Jupyter Notebook

  6. Machine-Learning-A-Probabilistic-Perspective-Solutions Machine-Learning-A-Probabilistic-Perspective-Solutions Public

    Forked from ArthurZC23/Machine-Learning-A-Probabilistic-Perspective-Solutions

    My solutions to Kevin Murphy Machine Learning Book

    Jupyter Notebook