• Suche: Programming PyTorch for Deep Learning

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PyTorch Genesis - A Framework for Neuroevolution Neurevolution Using Genetic Programming and Backpropagation
Santos, Frederico José Jácome de Brito ; Castelli, Mauro ; Gonçalves, Ivo Carlos Pereira ; et al.

Neuroevolution Evolutionary Deep Learni... Neural Architecture Sear... Supervised Learning
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4

FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow
Lacouture, Rubens ; Zhang, Nathan ; Sharma, Ritvik ; et al.

Machine Learning Hardware Architecture Programming Languages
Report
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5

Selene: a PyTorch-based deep learning library for sequence data
Kathleen M. Chen ; Evan M. Cofer ; Jian Zhou ; et al.
Nat Methods

0301 basic medicine Models, Statistical 0206 medical engineering Normal Distribution Computational Biology Genomics …
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6

Deep Learning Models explored with help of Python Programming
Editor IJSMI ; Editor IJSMI

Deep Learning Tensor Flow Python Pytorch
Buch
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7

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality.
Li, Hao ; Rajbahadur, Gopi Krishnan ; Bezemer, Cor-Paul
ACM Transactions on Software Engineering & Methodology; Jan2025, Vol. 34 Issue 1, p1-31, 31p

COMPUTER software qualit... SOFTWARE engineering MACHINE learning PROGRAMMING languages TIME perspective DEEP learning …
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8

Natlog: Embedding Logic Programming into the Python Deep-Learning Ecosystem
Tarau, Paul
EPTCS 385, 2023, pp. 141-154

Computer Science - Artif... Computer Science - Progr...
Report
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9

Scorch: A Library for Sparse Deep Learning
Yan, Bobby ; Root, Alexander J. ; Gale, Trevor ; et al.

Computer Science - Machi... Computer Science - Artif... Computer Science - Mathe... Computer Science - Progr...
Report
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10

Automated detection of inter-language design smells in multi-language deep learning frameworks
Li, Zengyang ; Zhang, Xiaoyong ; Wang, Wenshuo ; et al.
In Information and Software Technology March 2025 179

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11

A Low-Code Visual Framework for Deep Learning-Based Remaining Useful Life Prediction.
Lin, Yuhan ; Chen, Jianhua ; Chen, Sijuan ; et al.
Processes; Aug2025, Vol. 13 Issue 8, p2366, 29p

REMAINING useful life DEEP learning PROGNOSIS MODEL validation VISUAL programming (Comp... USER interfaces …
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12

Massively Parallel Lagrangian Relaxation Algorithm for Solving Large-Scale Spatial Optimization Problems Using GPGPU.
Lei, Ting L. ; Wang, Rongrong ; Lei, Zhen
ISPRS International Journal of Geo-Information; Nov2025, Vol. 14 Issue 11, p419, 22p

DEEP learning OPTIMIZATION algorithms RESOURCE allocation GRAPHICS processing unit... RELAXATION methods (Math... LOCATION problems (Progr... …
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13

NURBS-Diff: A Differentiable Programming Module for NURBS
Deva Prasad, Anjana ; Balu, Aditya ; Shah, Harshil ; et al.
In Computer-Aided Design May 2022 146

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14

GPU memory usage optimization for backward propagation in deep network training
Hong, Ding-Yong ; Tsai, Tzu-Hsien ; Wang, Ning ; et al.
In Journal of Parallel and Distributed Computing May 2025 199

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15

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
You, Kaichao ; Bai, Runsheng ; Cao, Meng ; et al.

Computer Science - Machi... Computer Science - Artif... Computer Science - Progr...
Report
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16

Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters
Purvish Jajal ; Wenxin Jiang ; Arav Tewari ; et al.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis. :1466-1478

User Study Artificial Intelligence... Model Converters Computer Sciences ONNX deep learning …
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17

Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens.
Taylor, JohnMark ; Kriegeskorte, Nikolaus
Scientific Reports; 11/18/2023, Vol. 13 Issue 1, p1-13, 13p

ARTIFICIAL neural networ... COMPUTATIONAL neuroscien... PYTHON programming langu... RESEARCH personnel COMPLETE graphs DEEP learning
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18

Derin Öğrenme Modellerinin Testi için Ortak Platform Tasarımı.
Kuru, İbrahim ; Küpeli, Hatice ; Çevik, Kerim Kürşat
Bilecik Seyh Edebali University Journal of Science / Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi. 2025, Vol. 12 Issue 2, p693-709. 17p.

DEEP learning MOBILE apps BENCHMARK problems (Comp... USER interfaces SOFTWARE compatibility
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19

PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke, Adam ; Gross, Sam ; Massa, Francisco ; et al.

Computer Science - Machi... Computer Science - Mathe... Statistics - Machine Lea...
Report
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20

Comparative Analysis of Natural Language Processing Techniques in the Classification of Press Articles.
Piasta, Kacper ; Kotas, Rafał
Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9559, 29p

NATURAL language process... DEEP learning SOFTWARE libraries (Comp... MACHINE learning DATA mining CLASSIFICATION …
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