The pytorch-neural-style-transfer from danbetea

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Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

License: MIT License

Python 100.00%

pytorch-neural-style-transfer's Introduction

👋 Hi, my name is Dan Betea (@danbetea). I am a research and data scientist with degrees in mathematics (PhD) and computer science (BS). On this page I'll post small pieces of code that might be useful to the (statistical/machine learning/mathematical/physical/programming) community; languages included are Julia, Mathematica, Python, C/C++, and perhaps others.
👀 My current interests, in order, are:
- machine/statistical learning;
- data science;
- adjacent subjects like simulations (e.g. Markov Chain Monte Carlo) and numerical methods therein;
- probability and statistics, mathematical physics, (algebraic) combinatorics.
I am currently looking for new challenges in the industry. If you want to get in touch, see email below.
💞️ I’m also always looking for collaborators on various aspects and projects from my interests listed above. Topics include:
- regression and classification models;
- transfer lerning (e.g. particular applications of neural style transfer to various fields);
- simulations and numerical aspects of various models in statistical mechanics and physics and adjancent fields;
- random sampling methods and Markov Chain Monte Carlo techniques.
📫 How to reach me : firstName DOT lastName AT outlook DOT com.

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