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imadtyx/README.md

Hi there 👋

I am listing here some of my best works, whose code, unfortunately, I cannot post publicly due to some propreitary reasons, but are available in the form of research publications:

  1. FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space. (Paper Link)
  2. MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra. (Paper Link)
  3. A deep learning based approach for trajectory estimation using geographically clustered data. (Paper Link)
  4. An Online Planning Agent to Optimize the Policy of Resources Management. (Paper Link)
  5. Adma: A Flexible Loss Function for Neural Networks. (Paper Link)

Pinned

  1. Applying-Machine-Learning-to-CERN-Experiments Applying-Machine-Learning-to-CERN-Experiments Public

    Jupyter Notebook 6

  2. Reinforcement-Learning-based-Bomb-Defusal Reinforcement-Learning-based-Bomb-Defusal Public

    Python

  3. show-search show-search Public

    CSS

  4. Autonomous-Deep-Learning-Vision-Pipeline Autonomous-Deep-Learning-Vision-Pipeline Public

    Here I have implemented Transfer Learning on the Dataset that I had self-created on my own through Image Web-scrapping.

    Jupyter Notebook

  5. Image-Segmentation-for-ADE20K-dataset Image-Segmentation-for-ADE20K-dataset Public

    I have implemented Image Segmentation using transfer learning in the U-net architecture with ResNet-34 dataset..

    Jupyter Notebook 1 1

  6. Generative-Adverserial-Networks Generative-Adverserial-Networks Public

    Jupyter Notebook