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161

GPU memory usage optimization for backward propagation in deep network training.
Hong, Ding-Yong ; Tsai, Tzu-Hsien ; Wang, Ning ; et al.
Journal of Parallel & Distributed Computing. May2025, Vol. 199, pN.PAG-N.PAG. 1p.

ARTIFICIAL neural networ... CONVOLUTIONAL neural net... TIME complexity COMPUTER vision DEEP learning
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162

Characterizing the changes in the evolution of deep learning models
Imtiaz, Sayem Mohammad ; Rajan, Hridesh ; Gao, Hongyang ; et al.

Deep Learning Software Evolution Computer science SE4AI
Dissertation
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163

DeepOnto:A Python Package for Ontology Engineering with Deep Learning
He, Yuan ; Chen, Jiaoyan ; Dong, Hang ; 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

Ontology Ontology Engineering Deep Learning Language Mode OWL Python
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164

Top Python-Based Deep Learning Packages: A Comprehensive Review
Mohialden, Yasmin Makki ; Kadhim, Raed Waheed ; Hussien, Nadia Mahmood ; et al.
International Journal Papier Advance and Scientific Review; Vol. 5 No. 1 (2024): International Journal Papier Advance and Scientific Review; 1-9 ; 2709-0248

Python-Based Deep Learni... Deep Learning Packages Python Deep Learning Lib...
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165

Stable-Baselines3: Reliable Reinforcement Learning Implementations.
Raffin, Antonin ; Hill, Ashley ; Gleave, Adam ; et al.
Journal of Machine Learning Research. 2021, Vol. 22, p1-8. 8p.

REINFORCEMENT learning PYTHON programming langu... DEEP learning ALGORITHMS
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166

TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control.
Koutromanos, Dimitris ; Stefanatos, Dionisis ; Paspalakis, Emmanuel
Computer Physics Communications. May2025, Vol. 310, pN.PAG-N.PAG. 1p.

MACHINE learning DEEP reinforcement learn... REINFORCEMENT learning QUANTUM theory QUANTUM states
Zeitschrift
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167

DeepOnto: A Python package for ontology engineering with deep learning
Y He ; J Chen ; H Dong ; et al.

Ontology Ontology Engineering Deep Learning Language Model OWL Python
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168

FTorch: a library for coupling PyTorch models to Fortran
Jack Atkinson ; Athena Elafrou ; Elliott Kasoar ; et al.
Journal of Open Source Software. 10:7602

46 Information and Compu...
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169

FEALPy v3: A Cross-platform Intelligent Numerical Simulation Engine
Zheng, Yangyang ; Wei, Huayi ; Huang, Yunqing ; et al.

Numerical Analysis 65N30, 65N50, 65Y15, 65Z...
Report
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170

Demystifying differentiable programming: shift/reset the penultimate backpropagator
Grégory M. Essertel ; Daniel Zheng ; Tiark Rompf ; et al.
Proceedings of the ACM on Programming Languages. 3:1-31

FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... 0202 electrical engineer... Machine Learning (stat.M... 02 engineering and techn... …
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171

ScalaGrad : a statically typed automatic differentiation library for safer data science
Meyer, Benjamin ; Stadelmann, Thilo ; Lüthi, Marcel ; et al.

E-Ressource
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172

Fastai: A Layered API for Deep Learning.
Howard, Jeremy ; Gugger, Sylvain
Information. Feb2020, Vol. 11 Issue 2, p108. 1p.

Application program inte... Electronic data processi... Deep learning Computer vision Process optimization Python programming langu...
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173

Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach
Parisa Motie ; Hossein Mohammad-Rahimi ; Sahel Hassanzadeh-Samani ; et al.

3. Good health
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175

NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training
Size Zheng ; Renze Chen ; Yaqi Jin ; et al.
IEEE Transactions on Parallel and Distributed Systems. :1-1

Artificial neural networ... Artificial intelligence Hyperparameter Optimizat... Materials Science 02 engineering and techn... 7. Clean energy …
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176

How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Shahriari, Mostafa ; Ramler, Rudolf ; Fischer, Lukas
Machine Learning & Knowledge Extraction; Dec2022, Vol. 4 Issue 4, p888-911, 24p

DEEP learning ARTIFICIAL neural networ... COMPUTER software develo... VIRTUAL reality MACHINE learning
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177

Aprendiendo a leer la hora
Karatzas, Dimosthenis ; Ortiz Romero, Daniel ; Universitat Autònoma de Barcelona. Escola d'Enginyeria ; et al.

E-Ressource
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178

Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation
Liu, Jiawei ; Wei, Yuxiang ; Yang, Sen ; et al.

Computer Science - Softw... Computer Science - Crypt... Computer Science - Machi... Computer Science - Progr...
Report
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179

Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification
Soo Jun Wei ; Dimas Firmanda Al Riza ; Hermawan Nugroho
Journal of Agriculture and Food Research, Vol 10, Iss , Pp 100389- (2022)

Deep learning Convolutional neural net... Edge computing Plant leaf disease Agriculture (General) S1-972 …
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180

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.
Jungo, Alain ; Scheidegger, Olivier ; Reyes, Mauricio ; et al.
Computer Methods & Programs in Biomedicine. Jan2021, Vol. 198, pN.PAG-N.PAG. 1p.

COMPUTER-assisted image... IMAGE analysis PYTHON programming langu... DEEP learning IMAGE reconstruction
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