• Suche: Machine Learning Engineering with Python

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162

A framework to evaluate machine learning crystal stability predictions
Riebesell, Janosh ; Goodall, Rhys EA ; Benner, Philipp ; et al.
Nature Machine Intelligence. 7(6)

46 Information and Compu... 4611 Machine Learning (f... Machine Learning and Art... Networking and Informati... 7 Affordable and Clean E... 40 Engineering (for-2020... …
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164

Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry
Ko, Tsz Wai ; Deng, Bowen ; Nassar, Marcel ; et al.
npj Computational Materials. 11(1)

34 Chemical Sciences (fo... 3407 Theoretical and Com... Networking and Informati... Machine Learning and Art... 3407 Theoretical and com... 4016 Materials engineeri... …
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165

PyXAB -- A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms
Li, Wenjie ; Li, Haoze ; Honorio, Jean ; et al.

Statistics - Machine Lea... Computer Science - Artif... Computer Science - Machi... Computer Science - Softw...
Report
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166

An Overview of Python Libraries for Data Science
Ankush Joshi ; Haripriya Tiwari
Journal of Engineering Technology and Applied Physics, Vol 5, Iss 2, Pp 85-90 (2023)

python machine learning deep learning data science data analysis data visualization …
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167

Engineering Dehalogenase Enzymes Using Variational Autoencoder-Generated Latent Spaces and Microfluidics
Kohout, Pavel ; Vasina, Michal ; Majerova, Marika ; et al.
JACS Au. 5(2):838-850

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168

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Pan, Shaowu ; Kaiser, Eurika ; de Silva, Brian M. ; et al.

Electrical Engineering a... Computer Science - Machi... Mathematics - Dynamical... Physics - Computational...
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169

HYBpy: A web-based framework for hybrid modeling of biological systems
José Pedreira ; José Pinto ; Daniel Gonçalves ; et al.
Digital Chemical Engineering, Vol 17, Iss , Pp 100278- (2025)

Hybrid modeling Python Web-based framework Bioprocess digitalizatio... Machine learning (ML) Hybrid mechanistic/ML mo... …
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170

Application of machine learning for predictions of consecutive dependent data of type {[(a, b) → c] →− d}
Diego Alexander Quevedo Piratova ; Jhon Uberney Londoño Villalba ; Arnaldo Andres Gonzalez Gomez
Tecnura, Vol 28, Iss 79, Pp 66-86 (2024)

algorithms datasets decision trees python prediction scikit-learn …
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171

metric-learn: Metric Learning Algorithms in Python
de Vazelhes, William ; Carey, Cj ; Tang, Yuan ; et al.

Machine Learning Python Metric Learning Scikit-learn [INFO.INFO-LG]Computer S... Machine Learning [cs.LG] …
E-Ressource
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172

SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
Wang, Lilin ; Ramalho, Lucas ; Celestino, Alan ; et al.

Software Engineering Artificial Intelligence Computation and Language Machine Learning
Report
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173

Improved Correlation of Oil Recovery Factor for Water Driven Reservoirs in the Niger Delta
Ayodele Daniel ; Faisal Olasubomi Olanipekun ; Sunday Oloruntoba Isehunwa
ABUAD Journal of Engineering Research and Development, Vol 8, Iss 2 (2025)

Recovery Factor Python Machine Learning Correlations Model Engineering (General). C... …
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174

Artificial intelligence techniques for real-time visualisation of big data graph models
A. Banyk ; P. Mulesa
Ìнформаційні технології та компʼютерна інженерія, Vol 22, Iss 1, Pp 42-54 (2025)

machine learning interactive format clustering and principal... python libraries unity capabilities Computer engineering. Co... …
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175

Statistics and Machine Learning in Python
Duchesnay, Edouard ; Lofstedt, Tommy ; Younes, Feki ; et al.
Engineering school. France. 2021

Scikit-learn Machine Learning Python Statistics Statsmodels Pytorch …
Buch
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176

BibMon: An open source Python package for process monitoring, soft sensing, and fault diagnosis
Afrânio Melo ; Tiago S.M. Lemos ; Rafael M. Soares ; et al.
Digital Chemical Engineering, Vol 13, Iss , Pp 100182- (2024)

Process monitoring Fault detection and diag... Soft sensor Machine learning Open source Chemical engineering …
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178

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Velichko, Andrei ; Belyaev, Maksim ; Izotov, Yuriy ; et al.
Algorithms 2023, 16, 255

Computer Science - Machi... Computer Science - Artif... Electrical Engineering a... Nonlinear Sciences - Cha...
Report
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179

Communication Development and Verification for Python-Based Machine Learning Models for Real-Time Hybrid Simulation
Elif Ecem Bas ; Mohamed A. Moustafa
Frontiers in Built Environment, Vol 6 (2020)

real-time hybrid simulat... machine learning data transfer linear regression long-short term memory deep neural networks …
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180

Estimation of small antennas performance bounds using machine learning
Estimation des limites de performances d'antennes miniatures utilisant un algorithme de machine learning
Roqui, Julian ; Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA) ; et al.
Artificial Intelligence [cs.AI]. Université Côte d'Azur, 2025. English. ⟨NNT : 2025COAZ4009⟩

Compact terminals Printed antennas Machine learning Internet of things Small antenna performanc... Reseaux de neurone artif... …
Dissertation
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