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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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vkoriukina/README.md
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About Me:

    Hey there! I'm a Machine Learning engineer who's always on the lookout for the newest and coolest things happening in the AI field. My passion lies in exploring the depths of computer vision, and recently I've been super curious about the possibilities of generative architectures such as diffusion models for image generation. In my free time, I enjoy taking part in Kaggle competitions cause it's a fantastic way to keep my skills sharp and learn by solving challenging problems. I'm excited to see how AI will continue to evolve and be a part of that journey!

My Papers:

My Blog Posts:

My Technical Skills:

linux python c++ pytorch tensorflow clearml GIT docker

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  1. Weakly-Supervised-ChestXray-AdaptiveDenseNet Weakly-Supervised-ChestXray-AdaptiveDenseNet Public

    Forked from bbbbbbzhou/Weakly-Supervised-ChestXray-AdaptiveDenseNet

    A Weakly Supervised Adaptive Densenet for Classifying Thoracic Diseases and Identifying Abnormalities (2019)

    Python

  2. learnopencv learnopencv Public

    Forked from spmallick/learnopencv

    Learn OpenCV : C++ and Python Examples

    Jupyter Notebook

  3. pretrained-models.pytorch pretrained-models.pytorch Public

    Forked from Cadene/pretrained-models.pytorch

    Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

    Python

  4. CenterNet CenterNet Public

    Forked from xingyizhou/CenterNet

    Object detection, 3D detection, and pose estimation using center point detection:

    Python

  5. PyTorch-GAN PyTorch-GAN Public

    Forked from eriklindernoren/PyTorch-GAN

    PyTorch implementations of Generative Adversarial Networks.

    Python

  6. homemade-machine-learning homemade-machine-learning Public

    Forked from trekhleb/homemade-machine-learning

    🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

    Jupyter Notebook