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mauryasameer/README.md

πŸ’« About Me:

Four years of experience as a data scientist with specialized work in computer vision and natural language processing, proficiency in python and all major deep learning frameworks, Completed major projects involving computer vision and deep learning on edge, deployed multiple deep learning projects on aws/Heroku/Azure for different clients.

🌐 Socials:

LinkedIn

πŸ’» Tech Stack:

Keras NumPy scikit-learn Pandas SciPy TensorFlow Plotly PyTorch Redis MongoDB Python

πŸ“Š GitHub Stats:




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  1. ocr_tool ocr_tool Public

    This is basically the simple web implementation of the tesseract, using flask as backend.

    HTML 1 1

  2. akshaybahadur21/Facial-Recognition-using-Facenet akshaybahadur21/Facial-Recognition-using-Facenet Public

    A simple implementation of facial recognition using facenets for humans πŸ§” πŸ”

    Python 280 143

  3. image_captioning image_captioning Public

    Forked from DeepRNN/image_captioning

    Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

    Python 2

  4. Malaria_detection Malaria_detection Public

    With the help of FastAI libraries building an malaria classifier with an 97% accuracy

    Jupyter Notebook 2

  5. Style_transfer Style_transfer Public

    This is just vanilla implementation of the style transfer with the help of VGG-16

    Jupyter Notebook 1

  6. S-P500_analysis S-P500_analysis Public

    In this repository, I have basically analyzed the S&P 500 stocks data and found various meaningful insights in the data.

    Python 1