• Suche: Distributed Machine Learning with Python

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101

MANGO: A Python Library for Parallel Hyperparameter Tuning
Sandha, Sandeep Singh ; Aggarwal, Mohit ; Fedorov, Igor ; et al.

Computer Science - Machi... Statistics - Machine Lea...
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102

DetectVul: A statement-level code vulnerability detection for Python
Tran, Hoai-Chau ; Tran, Anh-Duy ; Le, Kim-Hung
ISSN:0167-739X ; ISSN:1872-7115 ; Future Generation Computer Systems-The International Journal Of Escience, vol. 163, Art.No. ARTN 107504.

Science & Technology Technology Computer Science Theory & Methods Source code vulnerabilit... Deep learning …
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103

Data Engineering for HPC with Python
Abeykoon, Vibhatha ; Perera, Niranda ; Widanage, Chathura ; et al.

Computer Science - Distr... Computer Science - Compu... Computer Science - Perfo... Computer Science - Softw...
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104

基于生态系统服务簇的珠江源区生态功能分区. (Chinese)
吴福荣 ; 税伟 ; 马永强 ; et al.
Journal of Hydroecology; Jan2025, Vol. 46 Issue 1, p177-188, 12p

MACHINE learning ANTHROPOGENIC effects on... RESTORATION ecology ECOLOGICAL zones PYTHON programming langu... ECOSYSTEM services
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105

QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models
Biehler, Jonas ; Nitzler, Jonas ; Brandstaeter, Sebastian ; et al.

Computational Engineerin...
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106

Using Machine Learning at scale in numerical simulations with SmartSim: An application to ocean climate modeling
Partee, Sam ; Ellis, Matthew ; Rigazzi, Alessandro ; et al.
In Journal of Computational Science July 2022 62

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107

NUBO: A Transparent Python Package for Bayesian Optimization
Diessner, Mike ; Wilson, Kevin J. ; Whalley, Richard D.
Diessner, M., Wilson, K. J., and Whalley, R. D. (2025). NUBO: A Transparent Python Package for Bayesian Optimization. Journal of Statistical Software, 114(1), 1-28

Machine Learning Mathematical Software
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108

Software analysis of scientific texts: comparative study of distributed computing frameworks
Serik Altynbek ; Gabit Shuitenov ; Madi Muratbekov ; et al.
Радіоелектронні і комп'ютерні системи, Vol 2025, Iss 2 (2025)

TK7885-7895 Computer engineering. Co... apache flink machine learning big data Electronic computers. Co... …
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109

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration
Guan, Wen ; Maeno, Tadashi ; Alekseev, Aleksandr ; et al.

Distributed, Parallel, a...
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110

Distributed C++-Python embedding for fast predictions and fast prototyping
Varisteas, Georgios ; Avanesov, Tigran ; State, Radu
Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning. (2018).

Computer science [C05] [... 0202 electrical engineer... 02 engineering and techn... Sciences informatiques [...
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111

Geochemistry π: Automated Machine Learning Python Framework for Tabular Data
J. ZhangZhou ; Can He ; Jianhao Sun ; et al.
Geochemistry, Geophysics, Geosystems. 25

0301 basic medicine 03 medical and health sc... 01 natural sciences 0105 earth and related e...
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112

dislib: Large Scale High Performance Machine Learning in Python
Pol Alvarez ; Alfred Castro-Ginard ; Javier Álvarez Cid-Fuentes ; et al.
2019 15th International Conference on eScience (eScience). :96-105

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113

Geochemistry π: Automated Machine Learning Python Framework for Tabular Data.
ZhangZhou, J. ; He, Can ; Sun, Jianhao ; et al.
Geochemistry, Geophysics, Geosystems: G3; Jan2024, Vol. 25 Issue 1, p1-14, 14p

PYTHON programming langu... MACHINE learning GEOCHEMISTRY WEB portals DATA mining ELECTRONIC data processi...
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114

KLIFF: A framework to develop physics-based and machine learning interatomic potentials
Wen, Mingjian ; Afshar, Yaser ; Elliott, Ryan S. ; et al.
In Computer Physics Communications March 2022 272

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115

Portable, heterogeneous ensemble workflows at scale using libEnsemble
Hudson, Stephen ; Larson, Jeffrey ; Navarro, John-Luke ; et al.
The International Journal of High Performance Computing Applications. 39(1)

Information and Computin... Applied Computing Dynamic ensembles python toolkit exascale computing portable workflows …
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116

Machine Learning Based Effective Classification of Distributed Denial of Service Attacks
Aanshi Bhardwaj ; Veenu Mangat ; Renu Vig
International Journal of Innovative Technology and Exploring Engineering. 9:1060-1064

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117

hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms
Thanh Tung Khuat ; Bogdan Gabrys
SoftwareX, Vol 23, Iss , Pp 101425- (2023)

Hyperbox-based machine l... Hyperbox fuzzy sets Fuzzy min–max neural net... General fuzzy min–max ne... Explainable machine lear... Classifier …
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119

Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition
Zeng, Ruida ; Jha, Aadarsh ; Kumar, Ashwin ; et al.

Computer Science - Distr... Computer Science - Compu...
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120

Quantum Entropy and Reinforcement Learning for Distributed Denial of Service Attack Detection in Smart Grid
Dhaou Said ; Miloud Bagaa ; Aziz Oukaira ; et al.
IEEE Access, Vol 12, Pp 129858-129869 (2024)

Artificial intelligence machine learning cybersecurity distributed denial of se... quantum reinforcement le... Electrical engineering.... …
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