• Suche: Generative deep learning with Python

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optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+)
Mummaneni, Guneet ; Trigila, Carlotta ; Krah, Nils ; et al.
Physics in Medicine and Biology. 70(13):135009-135009

optical photon transport multidimensional distrib... generative adversarial n... deep learning accelerati... Monte Carlo simulation GATE 10 …
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3

How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Lee, Yoonhwan ; Huh, Sun
Endocrinology & Metabolism; Oct2025, Vol. 40 Issue 5, p659-667, 9p

MACHINE learning DEEP learning MEDICAL personnel CLINICAL medicine resear... EMPIRICAL research GENERATIVE artificial in... …
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4

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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6

PRACTICE-ORIENTED STUDY ON THE FULL PIPELINE OF IMAGE PROCESSING BASED ON ADVANCED DEEP LEARNING TECHNIQUES: IMPLEMENTATION AND INTEGRATED EXPERIMENTS OF GENERATIVE AI SYSTEMS
Y. S. Choi ; A. Davletova ; Zh. Onorova ; et al.
Вестник Иссык-Кульского университета. :5-12

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7

Advanced chatbots with deep learning & Python
Advanced chatbots with deep learning and Python
Chatbots development with deep learning
Packt Publishing, publisher. ; AI Sciences (Firm), presenter. ; Hamid, Shahzaib, speaker, instructor.

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8

arfpy: A python package for density estimation and generative modeling with adversarial random forests
Blesch, Kristin ; Wright, Marvin N.

Statistics - Machine Lea... Computer Science - Machi...
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9

Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Watcharasupat, Karn N. ; Lee, Junyoung ; Lerch, Alexander
Software Impacts, Volume 11, 2022, 100222, ISSN 2665-9638

Computer Science - Machi... Computer Science - Artif... Computer Science - Infor... Computer Science - Mathe...
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10

Predictive Models for Stock Market Volatility Using Deep Learning.
Sujatha, L. ; Kodmalwar, Pratik ; Vigneswara Rao, Kamarajugadda Tulasi ; et al.
Frontiers in Health Informatics. 2024, Vol. 13 Issue 8, p1593-1600. 8p.

GENERATIVE adversarial n... BUSINESS forecasting STANDARD deviations DATA augmentation FEATURE selection
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11

Deep learning-based landmark detection and localization for autonomous robots in outdoor settings.
Anuradha, M. ; Bibin Christopher, V. ; Shajin, Francis H. ; et al.
Robotica. Apr2025, Vol. 43 Issue 4, p1314-1330. 17p.

GENERATIVE adversarial n... CAPSULE neural networks DECISION making ROBOTS RATS
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12

arfpy:A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests
Blesch, Kristin ; Wright, Marvin N. ; Blesch, Kristin ; et al.
Blesch , K & Wright , M N 2024 , ' arfpy : A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests ' , Journal of Open Research Software , vol. 12 , no. 1 , 7 .

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13

arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests.
Blesch, Kristin ; Wright, Marvin N.
Journal of Open Research Software; 2024, Vol. 12 Issue 1, p1-6, 6p

MACHINE learning RANDOM forest algorithms DEEP learning PYTHONS COMPUTER software PYTHON programming langu...
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14

Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder.
Prabhakar, T. S. ; Veena, M. N.
International Journal of Communication Systems; Oct2025, Vol. 38 Issue 15, p1-20, 20p

ROOT cause analysis LONG-Term Evolution (Tel... FAULT diagnosis PATTERN perception DEEP learning GENERATIVE adversarial n... …
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15

ALGORITHMIC LITERACY: Generative Artificial Intelligence Technologies for Data Librarians.
Semeler, Alexandre ; Pinto, Adilson Luiz ; Koltay, Tibor ; et al.
EAI Endorsed Transactions on Scalable Information Systems; 2024, Vol. 11 Issue 2, p1-11, 11p

GENERATIVE artificial in... PYTHON programming langu... DEEP learning LIBRARIANS MACHINE learning GENERATIVE pre-trained t... …
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16

Enhancing Brain Tumor Classification Accuracy Using Deep Learning with Real and Synthetic MRI Images.
Othman, Nayla Faiq ; Kareem, Shahab Wahhab
ZANCO Journal of Pure & Applied Sciences. 2025, Vol. 37 Issue 4, p126-149. 24p.

BRAIN tumors DEEP learning MAGNETIC resonance imagi... METADATA COMPUTER-assisted image... GENERATIVE adversarial n...
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17

Prediction of the buckling mode of cylindrical composite shells with imperfections using FEM-based deep learning approach.
Xin, Ruihai ; Le, Vinh Tung ; Goo, Nam Seo
Advanced Composite Materials. Apr2024, Vol. 33 Issue 2, p189-211. 23p.

ARTIFICIAL neural networ... DEEP learning CYLINDRICAL shells MACHINE learning GENERATIVE adversarial n... IMPERFECTION
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18

Enhancing MRI diagnosis of myocarditis using deep learning and generative adversarial networks
Haifeng Gui ; Na Zhang
Applied Mathematics and Nonlinear Sciences. 10

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19

medigan: a Python library of pretrained generative models for medical image synthesis
Osuala, Richard ; Skorupko, Grzegorz ; Lazrak, Noussair ; et al.
Journal of Medical Imaging 10.6 (2023) 061403

Electrical Engineering a... Computer Science - Compu... Computer Science - Machi... I.4.0 I.2.0 I.5.1
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20

Breast cancer detection using fast hybrid vision quaternion generative adversarial networks
Purushotham, P. ; Ramani, P. ; Narasimha Raju, K. ; et al.
In Biomedical Signal Processing and Control February 2026 112 Part B

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