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IgnatPolezhaev/README.md

Hi, I’m Ignat

I am a master of machine learning at MIPT, interested in deep learning, especially computer vision.

Find me in:

Instagram

Kaggle

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  1. MDS-ViTNet MDS-ViTNet Public

    We present a novel methodology we call MDS-ViTNet (Multi Decoder Saliency by Vision Transformer Network) for enhancing visual saliency prediction or eye-tracking. Our trained model achieves state-o…

    Python 16

  2. Optical-Character-Recognition-CCPD2019 Optical-Character-Recognition-CCPD2019 Public

    This repository implements the task of recognizing license plates on the CC2019 dataset.

    Jupyter Notebook

  3. Generative-adversarial-neural-network-trained-on-the-Flickr-Faces-dataset Generative-adversarial-neural-network-trained-on-the-Flickr-Faces-dataset Public

    This work was done on the basis of a PyTorch [tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html). [Flickr Faces](https://github.com/NVlabs/ffhq-dataset)

    Jupyter Notebook 1

  4. Semantic-segmentation-of-skin-lesions Semantic-segmentation-of-skin-lesions Public

    The dataset from ADDI project was used in this repository. Segmented melanocytic lesions. I used two models: Signet and UNet. Augmentation was performed on the data, after which they were fed into …

    Jupyter Notebook 1