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SciPy 1.0: fundamental algorithms for scientific computing in Python

by Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul
Published in Nature methods (01.03.2020)

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Python for MATLAB Development - Extend MATLAB with 300,000+ Modules from the Python Package Index

by Danial, Albert
Year of Publication 2022

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Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool

by Difonzo, Fabio V., Masciopinto, Costantino, Vurro, Michele, Berardi, Marco
Published in Water resources management (01.06.2021)

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Deep learning with Python : a hands-on introduction

by Ketkar, Nikhil
Year of Publication 2017

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Combining Deep Neural Network with Genetic Algorithm for Axial Flow Fan Design and Development

by Liu, Yu-Ling, Nisa, Elsa Chaerun, Kuan, Yean-Der, Luo, Win-Jet, Feng, Chien-Chung
Published in Processes (01.01.2023)

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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

by Molak, Aleksander
Year of Publication 2023

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Gradient free stochastic training of ANNs, with local approximation in partitions

by Bakas, N. P., Langousis, A., Nicolaou, M. A., Chatzichristofis, S. A.
Published in Stochastic environmental research and risk assessment (01.07.2023)

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Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

by Taillard, Eric D
Year of Publication 2023

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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code

by Michaud, Eric J., Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max
Published in Entropy (Basel, Switzerland) (02.12.2024)

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General resource for ionospheric transient investigations (GRITI): An open-source code developed in support of the Dinsmore et al. (2021) results

by Dinsmore, Ross, Mathews, J.D., Urbina, Julio
Published in MethodsX (01.01.2021)

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Alignment-free classification of COI DNA barcode data with the Python package Alfie

by Nugent, Cameron M., Adamowicz, Sarah J.
Published in Metabarcoding and Metagenomics (10.09.2020)

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Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study

by Lee, Jae-Hong, Jeong, Seong-Nyum
Published in Medicine (Baltimore) (26.06.2020)

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Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3

by Bredesen-Aa, Bjørn André, Rehmsmeier, Marc
Published in PloS one (09.09.2022)

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Hands-on Machine Learning with Python - Implement Neural Network Solutions with Scikit-Learn and PyTorch

by Ashwin Pajankar, Aditya Joshi
Year of Publication 2022

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Numerical Methods in Engineering with Python 3

by Kiusalaas, Jaan
Year of Publication 21.01.2013

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ChatGPT Code Detection: Techniques for Uncovering the Source of Code

by Oedingen, Marc, Engelhardt, Raphael C., Denz, Robin, Hammer, Maximilian, Konen, Wolfgang
Published in AI (Basel) (01.09.2024)

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ProBAN: Neural network algorithm for predicting binding affinity in protein–protein complexes

by Bogdanova, Elizaveta Alexandrovna, Novoseletsky, Valery Nikolaevich
Published in Proteins, structure, function, and bioinformatics (01.09.2024)

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Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network

by Hemmat Esfe, Mohammad, Bahiraei, Mehdi, Mahian, Omid
Published in Powder technology (01.10.2018)

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Anyone Can Code: The Art and Science of Logical Creativity

by Arya, Ali
Year of Publication 2021

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eBook Book

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Seafloor topography refinement from multisource data using genetic algorithm—backpropagation neural network

by Wu, Chunhong, Su, Xinwen, Xu, Chuang, Jian, Guangyu, Li, Jinbo
Published in Geophysical journal international (01.09.2024)

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