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The repository contains programs and models for investigation of estimating phase-transitions in 2D Ising model using Deep Neural Networks and comparison of the results with data compressed by PCA algorithm. The results are part of Master Thesis being the completition of the study on Big Data Analytics at WUST

License: GNU General Public License v3.0

CMake 0.01% C++ 1.94% Jupyter Notebook 97.87% Python 0.19%
academic-project ising-model keras-tensorflow machine-learning neural-network neural-networks pca-analysis

ising_nn_pca's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m ลukasz
  • ๐Ÿ‘€ Iโ€™m interested in the areas related to big data algorithms, deep learning, programming and medical technology.
  • ๐ŸŒฑ Iโ€™m currently developing my ML/Big Data and FastApi skills and looking for the new opportunities to check myself in the Machine Learning-related roles.
  • ๐Ÿ“ซ How to reach me: [email protected]

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