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NikolasEnt/README.md

Hi, I'm Nikolay πŸ‘‹

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As a dedicated Deep Learning researcher and developer, I specialize in real-time processing of diverse multi-modal data using multi-task pipelines with a primary focus on Computer Vision. Many of my projects involve sports analysis using industrial cameras and LIDARs data. In my spare time, I participate in Data Science competitions and contribute to research in applied Deep Learning.

πŸ“„ CVPRw2020: TTNet: Real-time temporal and spatial video analysis of table tennis

πŸ₯‡ CVPRw2023: Top-1, SoccerNet Camera Calibration Challenge 2023, ⭐code⭐ πŸ“„ ACMMM 2024

πŸ› οΈ:

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  1. OniroAI/MonoDepth-PyTorch OniroAI/MonoDepth-PyTorch Public

    Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

    Python 543 127

  2. soccernet-calibration-sportlight soccernet-calibration-sportlight Public

    SoccerNet@CVPR | 1st place solution for Camera Calibration Challenge 2023

    Python 31 3

  3. lRomul/argus lRomul/argus Public

    Lightweight library for training neural networks in PyTorch

    Python 79 9

  4. PersonMask_TFLite PersonMask_TFLite Public

    Real-time CPU person segmentation for privacy in video calls

    C++ 36 6

  5. Lyft-Perception-Challenge Lyft-Perception-Challenge Public

    The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

    Jupyter Notebook 68 12

  6. Road-Semantic-Segmentation Road-Semantic-Segmentation Public

    Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation

    Jupyter Notebook 86 33