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Machine Learning Guide for Oil and Gas Using Python - A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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Automation and Genetic Algorithm Optimization for Seismic Modeling and Analysis of Tall RC Buildings

by Cabrera, Piero A., Medina, Gianella M., Delgadillo, Rick M.
Published in Buildings (Basel) (01.10.2025)

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PyESPERv1.0.0: a Python implementation of empirical seawater property estimation routines (ESPERs)

by Dias, Larissa M., Carter, Brendan R.
Published in Geoscientific Model Development (15.10.2025)

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Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs

by Alevi, Denis, Stimberg, Marcel, Sprekeler, Henning, Obermayer, Klaus, Augustin, Moritz
Published in Frontiers in neuroinformatics (31.10.2022)

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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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THE INFLUENCER PRICING PROGNOSTICATION ON SOCIAL MEDIA DYNAMICS AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK: AN ADVANCED EXAMINATION OF LINEAR REGRESSION 2 POLY DEGREE ALGORITHM & NEURAL NETWORK

by Canesta, Felicia, Rusdianto Roestam
Published in MUST (12.12.2024)

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Graph Neural Network-Accelerated Multitasking Genetic Algorithm for Optimizing Pd x Ti 1– x H y Surfaces under Various CO 2 Reduction Reaction Conditions

by Ai, Changzhi, Han, Shuang, Yang, Xin, Vegge, Tejs, Hansen, Heine Anton
Published in ACS applied materials & interfaces (13.03.2024)

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MEG and EEG data analysis with MNE-Python

by Gramfort, Alexandre
Published in Frontiers in neuroscience (26.12.2013)

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PHOTONAI—A Python API for rapid machine learning model development

by Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim
Published in PloS one (21.07.2021)

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Artificial Intelligence with Python Cookbook - Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2.x and PyTorch 1.6

by Kumar, Ritesh, Auffarth, Ben
Year of Publication 2020

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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces

by Singh, Gursimran, Chharia, Aviral, Upadhyay, Rahul, Kumar, Vinay, Longo, Luca
Published in PloS one (06.08.2025)

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(2+1)-dimensional three-wave resonant interaction systems: Lump pattern and slice physics-informed neural network algorithm

by Yan, Xue-Wei, Gao, Guang-Yu, Zhu, Guang-Nan, Chen, Yong
Published in Nonlinear dynamics (01.11.2025)

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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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Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

by Bowles, Michael
Year of Publication 2020

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PyGeNN: A Python Library for GPU-Enhanced Neural Networks

by Knight, James C., Komissarov, Anton, Nowotny, Thomas
Published in Frontiers in neuroinformatics (22.04.2021)

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Learning from algorithm-generated pseudo-annotations for detecting ants in videos

by Zhang, Yizhe, Imirzian, Natalie, Kurze, Christoph, Zheng, Hao, Hughes, David P., Chen, Danny Z.
Published in Scientific reports (18.07.2023)

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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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Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2

by Raschka, Sebastian, Mirjalili, Vahid
Year of Publication 2019

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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

by Mendez, Kevin M., Reinke, Stacey N., Broadhurst, David I.
Published in Metabolomics (01.12.2019)

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Constraints on cubic and f(P) gravity from the cosmic chronometers, BAO & CMB datasets: Use of machine learning algorithms

by Giri, Kinsuk, Rudra, Prabir
Published in Nuclear physics. B (01.05.2022)

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