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Hello there
My name is Maxim Monastyrnyy. Currently I'm a computer science student at NRNU MEPhI, Moscow. I am interested in machine and deep learning research, robotics and computer vision.

💻 List of technologies

My main programming languages are Python and C++. I know both classical machine learning methods (linear regression, gradient boosting, SVM, naive Bayesian e.g.) and the theory of neural networks (especially convolutional networks). I also have experience in developing autonomous and controllable robotic systems.

You can see set of mostly used technologies and libraries below:

Python C++ ROS OpenCV Jupyter Notebook Pandas PyTorch TensorFlow scikit-learn CatBoost Postgres

🚀 Projects

📫 Get in Touch

You can check out my CV here.

Also you can contact me via:

Maxim Monastyrnyy's Projects

clustering_scala icon clustering_scala

Реализация кластеризации данных на языке Scala с использованием параллельных вычислений

engineering-track icon engineering-track

This is a repository of Engineering track of Academy of Science Mentors in August 2022

kronki icon kronki

Репозиторий команды для соревнований BRD

labs icon labs

Лабораторные работы по программированию в НИЯУ МИФИ

mawerid icon mawerid

Config files for my GitHub profile.

metal_particle_detection icon metal_particle_detection

Repo with code written during Nuclear_IT_HACK (29-30 April 2023). Our team worked on "Image Analisys from TermoNuclear Reactor" (all data you can see in data folder). The task was about detecting particles of metal dust. We implement this with 3 methods: contour detection, kmeans and YOLOv7 tiny.

muon_nn_nevod icon muon_nn_nevod

Research about usage Neural Networks in case of tracks reconstruction in particle detector

theory_of_neural_networks icon theory_of_neural_networks

Домашние задания и лабораторные работы по курсу "Введение в нейронные сети"

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