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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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Journal Article

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Cadabra and python algorithms in general relativity and cosmology I: Generalities

Published in Revista Mexicana de Física E

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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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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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eBook

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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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eBook Publication

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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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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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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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Cadabra and Python algorithms in General Relativity and Cosmology II: Gravitational Waves

by Castillo-Felisola, Oscar, Price, Dominic T, Scomparin, Mattia
Published in arXiv.org (30.09.2022)

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Paper Journal Article

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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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eBook Book

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Cadabra and Python algorithms in General Relativity and Cosmology I: Generalities

by Castillo-Felisola, Oscar, Price, Dominic T, Scomparin, Mattia
Year of Publication 30.09.2022

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Journal Article

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Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

by Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Quackenbush, Lindi, Adeli, Sarina, Brisco, Brian
Published in ISPRS journal of photogrammetry and remote sensing (01.06.2020)

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Analysis of tactile perceptions of textile materials using artificial intelligence techniques: Part 2: reverse engineering using genetic algorithm coupled neural network

by Karthikeyan, B., Sztandera, Les M.
Published in International journal of clothing science and technology (01.01.2010)

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Machine learning algorithms for predicting electrical load demand: an evaluation and comparison

by Goswami, Kakoli, Kandali, Aditya Bihar
Published in Sadhana (Bangalore) (25.01.2024)

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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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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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A Low-Cost Approach to Crack Python CAPTCHAs Using AI-Based Chosen-Plaintext Attack

by Yu, Ning, Darling, Kyle
Published in Applied sciences (01.05.2019)

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PNL: a software to build polygenic risk scores using a super learner approach based on PairNet, a Convolutional Neural Network

by Chen, Ting-Huei, Lee, Chia-Jung, Chen, Syue-Pu, Wu, Shang-Jung, Fann, Cathy S J
Published in Bioinformatics (Oxford, England) (04.02.2025)

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Development of an Advanced Online Adaptive FOPID Controller Using the Interval Type 2 Fuzzy Neural Network Optimized With the Levenberg–Marquardt Algorithm for a 20‐Story Benchmark Building

by Sabetahd, Rasoul, Jafarzadeh, Ommegolsoum
Published in Structural control and health monitoring (01.01.2025)

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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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