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61

torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.
James K. Reed ; Zachary DeVito ; Horace He ; et al.
CoRR. abs/2112.08429

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62

Enhancing Health Research with Machine Learning: Practical Case Studies Using the All of Us Researcher Workbench
Jonathan R. Holt ; Stefanee Tillman ; Javan Carter ; et al.
Data Science in Science, Vol 4, Iss 1 (2025)

Q1-390 machine learning electronic health record... Science (General) All of Us Researcher Wor... artificial intelligence …
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63

DeepOnto: A Python package for ontology engineering with deep learning: A Python Package for Ontology Engineering with Deep Learning
He, Y ; Chen, J ; Dong, H ; et al.
He, Y, Chen, J, Dong, H, Horrocks, I, Allocca, C, Kim, T & Sapkota, B 2024, 'DeepOnto : A Python Package for Ontology Engineering with Deep Learning', Semantic Web, vol. 15, no. 5, pp. 1991-2004. https://doi.org/10.3233/SW-243

FOS: Computer and inform... Computer Science - Machi... Computer Science - Logic... Computer Science - Compu... Language Mode Ontology …
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64

Evaluation of beef quality using machine learning based on the CIELAB color space
Kim, Somin ; Kim, Woo-Ju ; Doh, Hansol
In Food Control February 2026 180

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66

Practical machine learning with python on DSX.
Shaikh Quader ; Mark Ryan ; Eric Dong ; et al.
CASCON. :403-405

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68

How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Lee Y ; Huh S
Publisher: Korean Endocrine Society Country of Publication: Korea (South) NLM ID: 101554139 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2093-5978 (Electronic) Linking ISSN: 2093596X NLM ISO Abbreviation: Endocrinol Metab (Seoul) Subsets: MEDLINE

Humans Artificial Intelligence Software Deep Learning Machine Learning
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70

Speech Enhancement via Metric GAN and Kolmogorov-Arnold Networks: A Deep Learning Approach in Python
Lakkakula Lohith
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

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72

A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Navarro, Alejandro L. García ; Koneva, Nataliia ; Sánchez-Macián, Alfonso ; et al.

Computer Science - Machi... Computer Science - Progr...
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73

Enhancing EMG-based gesture recognition for prosthetic control: Impact of dimensionality reduction on machine learning classifier
Abdelrazik, Wafaa N. ; El-Bialy, Ahmed ; Ibrahim, Hamed A. ; et al.
In Sensors and Actuators: A. Physical 16 December 2025 396

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74

$whittlehurst$: A Python package implementing Whittle's likelihood estimation of the Hurst exponent
Csanády, Bálint ; Nagy, Lóránt ; Lukács, András

Statistics - Computation Statistics - Machine Lea... 60G22 G.3 G.4
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75

HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
Nguyen, Tam V. ; Tran, Vinh Ngoc ; Tran, Hoang ; et al.
In Ecological Informatics March 2025 85

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76

PYTHON-BASED NEURAL NETWORKS FROM SCRATCH: A HANDS-ON DEEP LEARNING GUIDE
Prof. Dr. KANTHAVEL R ; Dr. DHAYA R ; Dr. ADLINE FREEDA ; et al.

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77

Hands-On Network Machine Learning with Python
Eric W. Bridgeford ; Alexander R. Loftus ; Joshua T. Vogelstein ; et al.

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78

Risk-indexed artificial neural network for predicting duration and cost of irrigation canal-lining projects using survey-based calibration and python validation.
Taha, Boshra ; Ibrahim, Ahmed H. ; Soliman, Asmaa A.
Scientific Reports. 11/17/2025, Vol. 15 Issue 1, p1-17. 17p.

ARTIFICIAL neural networ... MACHINE learning PYTHON programming langu... RISK assessment IRRIGATION TIME perception …
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79

Practical Machine Learning with Python
Raghav Bali ; Tushar Sharma ; Dipanjan Sarkar ; et al.

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