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141

The Next 700 Accelerated Layers
Vasilache, Nicolas ; Zinenko, Oleksandr ; Theodoridis, Theodoros ; et al.
ACM Transactions on Architecture and Code Optimization. 16(4):1-26

[INFO.INFO-LG] Computer... Polyhedral compilation GPU acceleration Deep learning layers [INFO.INFO-PL] Computer...
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143

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144

FTorch: a library for coupling PyTorch models to Fortran
Atkinson, Jack ; Elafrou, Athena ; Kasoar, Elliott ; et al.

46 Information and Compu...
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145

Solving Time Domain Electromagnetic Forward and Inverse Problems using a Differentiable Programming Platform
Jiefu Chen ; Yuchen Jin ; Xuqing Wu ; et al.
2021 International Conference on Electromagnetics in Advanced Applications (ICEAA). :216-221

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146

BurTorch: Revisiting Training from First Principles by Coupling Autodiff, Math Optimization, and Systems
Burlachenko, Konstantin ; Richtárik, Peter

Computer Science - Machi... Computer Science - Mathe... 65Y10 I.2.6 I.2.8 C.1.3
Report
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147

Rice Seedling Image Classification Using Light Convolutional Neural Network.
Hermawan, Indra ; Agustin, Maria ; Zain, Ayu Rosyida ; et al.
Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika; Oct2023, Vol. 9 Issue 2, p111-119, 9p

CONVOLUTIONAL neural net... IMAGE recognition (Compu... PYTHON programming langu... RICE ARABLE land
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148

Pyro: Deep Universal Probabilistic Programming
Bingham, Eli ; Chen, Jonathan P. ; Jankowiak, Martin ; et al.

Computer Science - Machi... Computer Science - Progr... Statistics - Machine Lea...
Report
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149

Chapter 9 - Model Deployment and Launch
In Deep Learning for Image Recognition 2026:497-520

Buch
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150

Using Torchattacks to Improve the Robustness of Models with Adversarial Training
Matos Díaz, William S.
Cybersecurity: Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment

Torchattacks Adversarial Examples Adversarial Training Pytorch Machine Learning CIFAR-10
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151

FACE RECOGNITION PROGRAM IN PYTHON
Khurramova, Maftunakhon ; Khurramov , Azizjon
GREEN ECONOMY AND DEVELOPMENT; Vol. 3 No. 1 (2025): IV GLOBAL VA MILLIY IQTISODIYOT TRENDLARI: “O‘ZBEKISTON – 2030” STRATEGIYASI FORUMI - Maxsus son ; ЗЕЛЁНАЯ ЭКОНОМИКА И РАЗВИТИЕ; Том 3 № 1 (2025): «Yashil iqtisodiyot va taraqqiyot» журнали ; YASHIL IQTISODIYOT VA TARAQQIYOT; ##issue.vol## 3 ##issue.no## 1 (2025): «Yashil iqtisodiyot va taraqqiyot» журнали ; YASHIL IQTISODIYOT VA TARAQQIYOT; ##issue.vol## 3 ##issue.no## 1 (2025): «Yashil iqtisodiyot va taraqqiyot» jurnali ; 2992-8982 ; 0000-0000

python matplotlib opencv-python jupyter numpy pandas
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152

Primjena dubokog učenja za određivanje tipova stanica dobivenih scRNA sekvenciranjem
Cavalli, Luka ; Domazet-Lošo, Mirjana

bioinformatika Random Forest scRNA sequencing SVM slučajne šume scRNA sekvenciranje
Dissertation
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153

NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training.
Zheng, Size ; Chen, Renze ; Jin, Yicheng ; et al.
IEEE Transactions on Parallel & Distributed Systems; No2022, Vol. 33 Issue 11, p3220-3232, 13p

COMPILERS (Computer prog... AUTOMATIC differentiatio... NATURAL language process... REPRESENTATIONS of graph... IMAGE recognition (Compu... DEEP learning
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154

KI-Programme in der Praxis.
WOLSKI, DAVID
PC Welt Plus. 2023, Issue 10, p28-34. 7p.

NATURAL language process... ARTIFICIAL intelligence APPLICATION software DEEP learning COMPUTER software instal... MACHINE learning
Zeitschrift
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155

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
Liu, Jiawei ; Lin, Jinkun ; Ruffy, Fabian ; et al.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. :530-543

Software Engineering (cs... FOS: Computer and inform... Computer Science - Machi... Computer Science - Softw... 0202 electrical engineer... 02 engineering and techn...
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156

TorchTEM3D: PyTorch-Driven forward modeling platform for fast 3D transient electromagnetic modeling and efficient sensitivity matrix calculation.
Li, Ziteng ; Li, Hai ; Li, Keying ; et al.
Computers & Geosciences. Feb2026, Vol. 207, pN.PAG-N.PAG. 1p.

THREE-dimensional modeli... AUTOMATIC differentiatio... ELECTRIC transients OPTIMIZATION algorithms JACOBIAN matrices PARALLEL programming
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157

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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158

Performance Analysis of Distributed and Scalable Deep Learning
Sean Mahon ; Frédéric Pinel ; Pascal Bouvry ; et al.
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). :760-766

03 medical and health sc... 0302 clinical medicine 0202 electrical engineer... 02 engineering and techn...
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159

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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160

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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