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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, but recently I've been super curious about the possibilities of natural language processing and the fascinating world of generative adversarial networks. 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 Blog Posts:

My Technical Skills:

    linux python c++ pytorch tensorflow GIT docker

My Stats:


    Note: My github repos are not updated to the current state, since during my last job I mostly commited to private GitLab repos. So, it makes an impression that I'm programming in C++ which is not true. I'm mostly a pythonist for the last 5+ years

Valeriia Koriukina's Projects

advancedc icon advancedc

Repository with all materials, tasks and solutions for the Advanced C++ course

centernet icon centernet

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

distiller icon distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

homemade-machine-learning icon homemade-machine-learning

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

nncf icon nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

pretrained-models.pytorch icon pretrained-models.pytorch

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

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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