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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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GenProgJS: A Baseline System for Test-Based Automated Repair of JavaScript Programs

by Csuvik, Viktor, Horvath, Daniel, Lajko, Mark, Vidacs, Laszlo
Published in IEEE transactions on software engineering (01.02.2025)

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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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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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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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Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation

by Du, Yali, Sun, Hui, Li, Ming
Published in IEEE transactions on software engineering (2025)

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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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IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform

by Hepler, N. Lance, Scheffler, Konrad, Weaver, Steven, Murrell, Ben, Richman, Douglas D., Burton, Dennis R., Poignard, Pascal, Smith, Davey M., Kosakovsky Pond, Sergei L.
Published in PLoS computational biology (01.09.2014)

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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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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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Artificial Intelligence for Robotics - Build Intelligent Robots Using ROS 2, Python, OpenCV, and AI/ML Techniques for Real-World Tasks

by Govers, Francis X, Namuduri, Kamesh
Year of Publication 2024

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eBook

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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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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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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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Python for Scientists

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eBook

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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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A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression

by Ye, Qiulin, Qi, Yue, Liu, Juanjuan, Hu, Yuexin, Li, Xiao, Guo, Qian, Zhang, Danye, Lin, Bei
Published in BMC cancer (17.02.2025)

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