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Hi, I'm Nikolay 👋

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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.

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

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

🛠️:

Nikolay Falaleev's Projects

ai-project-template icon ai-project-template

General-purpose structure template for DS/ML/CV/DL/AI projects and Development Style Guide

argus icon argus

Easy high-level library for training neural networks in PyTorch

argus-tgs-salt icon argus-tgs-salt

Kaggle | 14th place solution for TGS Salt Identification Challenge

clique-bron-kerbosch icon clique-bron-kerbosch

Bron–Kerbosch algorithm implementation for finding maximal cliques in an undirected graph with OpenGL visualization

laneline-project icon laneline-project

Udacity Self-Driving Car Engineer Nanodegree. Project: Lane line detection with adaptive ROI and lines jitter smoothing

lyft-perception-challenge icon lyft-perception-challenge

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

particle-filter icon particle-filter

Udacity Self-Driving Car Engineer Nanodegree. Project: Kidnapped Vehicle

path-planning icon path-planning

Udacity Self-Driving Car Engineer Nanodegree. Project: Path Planning

pid-controller icon pid-controller

Udacity Self-Driving Car Engineer Nanodegree. Project: PID controller

tensor-stream icon tensor-stream

A library for real-time video stream decoding to CUDA memory

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