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vashiegaran/README.md
Degree in Computer Science Majoring Game Development (Multimedia University)

TECHINCAL SKILLS: Machine Learning, Unity, Linux, NoSQL Database, Docker. PROGRAMMING LANGUAGES: Python, C++, Java, C#, Javascript

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  1. DE-GAN-Implementation-Using-PyTorch DE-GAN-Implementation-Using-PyTorch Public

    Document Enhancement Generative Adversarial Networks

    Jupyter Notebook 7 1

  2. Face-Recognition-Eigenface-Scratch Face-Recognition-Eigenface-Scratch Public

    Face Recognition and Detection using Eigenface method from scratch

    Jupyter Notebook 7

  3. K-means-from-scatch K-means-from-scatch Public

    K-Means algorithm implemented from scratch

    Jupyter Notebook 4

  4. Emotion-Detection-Using-CNN Emotion-Detection-Using-CNN Public

    Pytorch is used to train the data in order to generalize the machine learning model to predict emotions, given an image or live feed video

    Jupyter Notebook 4

  5. Pytorch-CNN-with-cats-and-dogs- Pytorch-CNN-with-cats-and-dogs- Public

    Classification of cats and dogs using Pytorch

    Jupyter Notebook 6 2

  6. Bounding-Box-Prediction-from-Scratch-using-PyTorch Bounding-Box-Prediction-from-Scratch-using-PyTorch Public

    Prediction of Bounding Box on Road Sign Images

    Jupyter Notebook 2