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NikolasEnt/README.md

Hi, I'm Nikolay 👋

GitHub NikolasEnt's stars

I'm a passionate Deep Learning researcher and developer with over a decade of experience in real-time processing of diverse multi-modal data through multi-task pipelines, with a strong emphasis on Computer Vision applications. My work often involves cutting-edge video analysis leveraging industrial cameras and LiDAR data to extract meaningful insights, such as in sports analytics.

In my free time, I enjoy participating in Data Science competitions and contributing to the advancement of applied Deep Learning research and open-source projects. Feel free to explore my repositories and connect if you're as excited about these topics as I am!

📄 CVPRw2020: TTNet: Real-time temporal and spatial video analysis of table tennis

🥇 CVPRw2023: Top-1, SoccerNet Camera Calibration Challenge 2023, ⭐code⭐ 📄 ACMMM 2024

🛠️:

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  1. OniroAI/MonoDepth-PyTorch Public

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

    Python 549 128

  2. soccernet-calibration-sportlight Public

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

    Python 35 3

  3. lRomul/argus Public

    Lightweight library for training neural networks in PyTorch

    Python 79 10

  4. PersonMask_TFLite Public

    Real-time CPU person segmentation for privacy in video calls

    C++ 37 7

  5. 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 Public

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

    Jupyter Notebook 87 33

580 contributions in the last year

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Loading A graph representing NikolasEnt's contributions from March 24, 2024 to March 26, 2025. The contributions are 99% commits, 1% pull requests, 0% code review, 0% issues.

Contribution activity

March 2025

4 contributions in private repositories Mar 1 – Mar 9
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