Explore projects
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A project focused on weather classification using advanced deep learning techniques, specifically leveraging TensorFlow and a custom Convolutional Neural Network (CNN). The project involved the integration of four diverse weather datasets, namely ACDC, MWD, UAVid, and Syndrone, covering various weather conditions, including clear sky, cloudy, rainy, and sunny weather. Developed a custom CNN architecture using TensorFlow's Keras API, incorporating convolutional layers for feature extraction and dense layers for classification.
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Raw project code to complete labs of statistical radiophysics (university course)
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Martin Brieger / Simple Convolutional Neural Network
GNU General Public License v3.0 or laterMy first neural network - built with Python, Scipy and Numpy
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Simple raw code templates that used for create real size plots for semiconductor labs (university course)
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Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn
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Python course for programmers with a focus on features needed for machine learning
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Работа с базой данных PostgreSQL и длинными запросами
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Code from mechanic physics labs (university course)
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All left code from labs 1-3 years(university studing)
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My approach on solving mathemetical modeling labs (university course)
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My attempts to solve homework from the Moscow Institute of Physics and Technology course
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