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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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Understanding the Flows of Signals and Gradients: A Tutorial on Algorithms Needed to Implement a Deep Neural Network from Scratch

by Klęsk, Przemysław
Published in Applied sciences (01.11.2024)

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PyRates—A Python framework for rate-based neural simulations

by Gast, Richard, Rose, Daniel, Salomon, Christoph, Möller, Harald E., Weiskopf, Nikolaus, Knösche, Thomas R.
Published in PloS one (16.12.2019)

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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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Cadabra and Python algorithms in general relativity and cosmology II: Gravitational waves

by Castillo-Felisola, Oscar, Price, Dominic T., Scomparin, Mattia
Published in Computer physics communications (01.08.2023)

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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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Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data

by Naznin, Shayla, Uddin, Md Jamal, Kabir, Ahmad
Published in PloS one (11.06.2025)

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A Python/C++ library for bound-constrained global optimization using a biased random-key genetic algorithm

by Silva, R. M. A., Resende, M. G. C., Pardalos, P. M.
Published in Journal of combinatorial optimization (01.10.2015)

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Parallel distributed computing using Python

by Dalcin, Lisandro D., Paz, Rodrigo R., Kler, Pablo A., Cosimo, Alejandro
Published in Advances in water resources (01.09.2011)

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Enhanced Elman spike Neural network optimized with flamingo search optimization algorithm espoused lung cancer classification from CT images

by Prakash, T. Senthil, Siva Kumar, A., Durai, C. Ramesh Babu, Ashok, S.
Published in Biomedical signal processing and control (01.07.2023)

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A neural algorithm for computing bipartite matchings

by Dasgupta, Sanjoy, Meirovitch, Yaron, Zheng, Xingyu, Bush, Inle, Lichtman, Jeff W., Navlakha, Saket
Published in Proceedings of the National Academy of Sciences - PNAS (10.09.2024)

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Development of PDAC diagnosis and prognosis evaluation models based on machine learning

by Xiao, Yingqi, Sun, Shixin, Zheng, Naxin, Zhao, Jing, Li, Xiaohan, Xu, Jianmin, Li, Haolian, Du, Chenran, Zeng, Lijun, Zhang, Juling, Yin, Xiuyun, Huang, Yuan, Yang, Xuemei, Yuan, Fang, Jia, Xingwang, Li, Boan, Li, Bo
Published in BMC cancer (20.03.2025)

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SPOTting Model Parameters Using a Ready-Made Python Package

by Houska, Tobias, Kraft, Philipp, Chamorro-Chavez, Alejandro, Breuer, Lutz
Published in PloS one (17.12.2015)

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Comparative study of CUDA-based parallel programming in C and Python for GPU acceleration of the 4th order Runge-Kutta method

by Fernandes, Davi F., Santos, Marcelo C., Silva, Adilson C., Lima, Alan M.M.
Published in Nuclear engineering and design (01.05.2024)

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Treatment of carpet and textile industry effluents using Diplosphaera mucosa VSPA: A multiple input optimisation study using artificial neural network-genetic algorithms

by Singh, Virendra, Mehra, Ravi, Ramesh, Kirtan Babu, Srivastava, Pradeep, Mishra, Abha
Published in Bioresource technology (01.11.2023)

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Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review

by Aburas, Maher Milad, Ahamad, Mohd Sanusi S., Omar, Najat Qader
Published in Environmental monitoring and assessment (01.04.2019)

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NorSand4AI: a comprehensive triaxial test simulation database for NorSand constitutive model materials

by Ozelim, Luan Carlos de Sena Monteiro, Casagrande, Michéle Dal Toé, Cavalcante, André Luís Brasil
Published in Geoscientific Model Development (23.04.2024)

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Reliable adaptive distributed hyperparameter optimization (RadHPO) for deep learning training and uncertainty estimation

by Li, John, Pantoja, Maria, Fernández-Escribano, Gerardo
Published in The Journal of supercomputing (01.07.2023)

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NAPARI GIVES PYTHON ITS OWN IMAGE VIEWER

by Perkel, Jeffrey M
Published in Nature (London) (09.12.2021)

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pyDHM: A Python library for applications in digital holographic microscopy

by Castañeda, Raul, Trujillo, Carlos, Doblas, Ana
Published in PloS one (10.10.2022)

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