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 This code is an improved implementation of AI Feynman: a Physics-Inspired Method for Symbolic Regression, Silviu-Marian Udrescu and Max Tegmark (2019) [[Science Advances](https://advances.sciencemag.org/content/6/16/eaay2631/tab-pdf)] and AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity, Udrescu S.M. et al. (2020) [[arXiv](https://arxiv.org/abs/2006.10782)].
 
-Please check [[this Medium article](https://towardsdatascience.com/ai-feynman-2-0-learning-regression-equations-from-data-3232151bd929)] for a more detailed eplanation of how to get the code running.
+Please check [this Medium article](https://towardsdatascience.com/ai-feynman-2-0-learning-regression-equations-from-data-3232151bd929) for a more detailed eplanation of how to get the code running.
 
 In order to get started, run compile.sh to compile the fortran files used for the brute force code.