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sheikhazhanmohammed/README.md

The introduced novel attention module works in the computer vision domain as a software engineer

It also functions well in a Large Language Model to spin up blog posts here

Connecting with the attention module without using residual skip connections:

LinkedIn Github gmail Google Scholar Google Scholar

Published Research Work:

Training Set: Validation Set : Pre-training Set:
NLP + CV Swift + SwiftUI Zero to One
Fingerprint recognition using attention based models Using Generative AI to solve real world problems Atomic Habits
Novel Computer Vision Algorithms Building deep learning applications using C++ The Unfair Advantage

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  1. LENS-deploy LENS-deploy Public

    Forked from lensCorporation/LENS-deploy

    C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.

    C++

  2. Transfer-Learning-Model-hosted-on-Heroku-using-React-Flask Transfer-Learning-Model-hosted-on-Heroku-using-React-Flask Public

    Forked from mohdahmad242/Transfer-Learning-Model-hosted-on-Heroku-using-React-Flask

    Transfer Learning model using RoBERTa on IMDb dataset deployed on React and Flask ( Regional Winner in Facebook Developer Community Challenge 2020 )

    Jupyter Notebook

  3. AAAI-Constraint-Shared-Tasks-2021 AAAI-Constraint-Shared-Tasks-2021 Public

    Jupyter Notebook 1

  4. SADMA SADMA Public

    SADMA: SAtellite baseD MArine debris detection

    Python 27 3

  5. COVID19-Fake-News-Detection COVID19-Fake-News-Detection Public

    Forked from mohdahmad242/COVID19-Fake-News-Detection

    Jupyter Notebook

  6. Credit-Card-Fraud-Detection-using-Machine-Learning-and-Deep-Learning-Techniques Credit-Card-Fraud-Detection-using-Machine-Learning-and-Deep-Learning-Techniques Public

    Jupyter Notebook 8 5