Suchergebnisse - "((\"source python toolkit\") OR (\"resource python toolkit\"))"

pyEDA: An Open-Source and Versatile Feature Extraction Python Toolkit for Electrodermal Activity

Autoren: Aqajari, Seyed Amir Hossein Rahmani, Amir M.1

Index Begriffe: Computer engineering, Computer science, publication

URL: https://escholarship.org/uc/item/3xq0084m
https://escholarship.org/

pyEDA: An Open-Source and Versatile Feature Extraction Python Toolkit for Electrodermal Activity

Autoren: Rahmani, Amir M. Aqajari, Seyed Amir Hossein

Index Begriffe: Computer engineering, Computer science, publication

URL: https://escholarship.org/uc/item/3xq0084m
https://escholarship.org/content/qt3xq0084m/qt3xq0084m.pdf

PrimeSpecPCR: Python toolkit for species-specific DNA primer design and specificity testing

Autoren: Adam Kuzdraliński

Quelle: SoftwareX, Vol 31, Iss , Pp 102249- (2025)

Schlagwörter: PCR primers, PCR primer design, Species-specific primers, Bioinformatics, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S235271102500216X; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/96853c2f0a4c44b0b20a2bb7b1e35f49

HistomicsTK: A Python toolkit for pathology image analysis algorithms

Autoren: Fattaneh Pourakpour Ákos Szölgyén Ramin Nateghi et al.

Quelle: SoftwareX, Vol 31, Iss , Pp 102318- (2025)

Schlagwörter: Image analysis, Medical imaging, Digital pathology, Pathology, Microscopy, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025002845; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/582ea87591694839a440aa257b8a26e4

VibratoScope: An Open-Source Python Toolkit for Vibrato Analysis in Singing Voice

Autoren: Cruz, Tiago Lima Bicalho orcid:0000-0002-8355-

Relation: https://github.com/tiagolbc/vibratoscope/tree/v1.0.1; https://zenodo.org/records/15519845; oai:zenodo.org:15519845; https://doi.org/10.5281/zenodo.15519845

Verfügbarkeit: https://doi.org/10.5281/zenodo.15519845
https://zenodo.org/records/15519845

Reproducible, Component-based Modeling with TopoFlow, A Spatial Hydrologic Modeling Toolkit

Weitere Verfasser: Bolton, William [Univ. of Alaska, Fairbanks, AK (United States). International Arctic Research Center] (ORCID:0000000308429867)

Quelle: Earth and Space Science; 4; 6

Dateibeschreibung: Medium: ED; Size: p. 377–394

Zugangs-URL: http://www.osti.gov/scitech/servlets/purl/1356158

Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An Open-Source Platform for Automatic Sleep Staging of Rodent Electrocorticographic and Electromyographic Data.

Autoren: Beck, Asad I. Caldart, Carlos S. Ben-Hamo, Miriam et al.

Quelle: Journal of Biological Rhythms; Aug2025, Vol. 40 Issue 4, p330-346, 17p

Schlagwörter: MACHINE learning, SUPERVISED learning, SOMNOLOGY, PYTHON programming language, SLEEP stages, NON-REM sleep

Biotuner: A python toolbox integrating music theory and signal processing for harmonic analysis of physiological and natural time series.

Autoren: Bellemare-Pepin, Antoine Jerbi, Karim

Quelle: Brain Informatics; 11/21/2025, Vol. 12 Issue 1, p1-16, 16p

Schlagwörter: MUSIC theory, SIGNAL processing, NEUROSCIENCES, AUDITORY perception, HARMONIC analysis (Mathematics), TIME series analysis, PYTHON programming language, HARMONIC analyzers

AngoraPy: A Python toolkit for modeling anthropomorphic goal-driven sensorimotor systems.

Autoren: Weidler, Tonio Goebel, Rainer Senden, Mario

Quelle: Frontiers in Neuroinformatics; 2024, p1-17, 17p

Schlagwörter: ARTIFICIAL neural networks, LARGE-scale brain networks, PYTHON programming language, GOAL (Psychology), CONVOLUTIONAL neural networks, COMPUTATIONAL neuroscience, NEUROSCIENCES

Py-CoMSIA: An Open-Source Implementation of Comparative Molecular Similarity Indices Analysis in Python.

Autoren: Haga, Christopher L. Le, Crystal N. Yang, Xue D. et al.

Quelle: Pharmaceuticals (14248247); Mar2025, Vol. 18 Issue 3, p440, 13p

Schlagwörter: PHARMACEUTICAL chemistry, STATISTICAL learning, MACHINE learning, PYTHONS, COMPUTER software, PYTHON programming language

Python tools for structural tasks in chemistry.

Autoren: Ryzhkov FV Ryzhkova YE Elinson MN

Quelle: Molecular diversity [Mol Divers] 2025 Aug; Vol. 29 (4), pp. 3733-3752. Date of Electronic Publication: 2024 May 14.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

MeSH-Schlagworte: Software* , Programming Languages*, Cheminformatics/methods

OpenSoundscape: An open‐source bioacoustics analysis package for Python.

Autoren: Lapp, Sam Rhinehart, Tessa Freeland‐Haynes, Louis et al.

Quelle: Methods in Ecology & Evolution; Sep2023, Vol. 14 Issue 9, p2321-2328, 8p

Schlagwörter: PYTHON programming language, BIODIVERSITY monitoring, ACQUISITION of data, DATA analysis, PHENOLOGY

PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data.

Autoren: Xu, Jia Vaeggemose, Michael Schulte, Rolf F. et al.

Quelle: Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 23, p2668, 17p

Schlagwörter: NUCLEAR magnetic resonance spectroscopy, PYTHON programming language, MONTE Carlo method, SIGNAL-to-noise ratio, MACHINE learning

pyDRMetrics - A Python toolkit for dimensionality reduction quality assessment

Autoren: Yinsheng Zhang Qian Shang Guoming Zhang

Quelle: Heliyon, Vol 7, Iss 2, Pp e06199- (2021)

Schlagwörter: Dimensionality reduction, Reconstruction error, Distance matrix, Co-ranking matrix, Co-k-nearest neighbor, Science (General), Q1-390, Social sciences (General), H1-99

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844021003042; https://doaj.org/toc/2405-8440

Zugangs-URL: https://doaj.org/article/d914d05357e948958afaeffb7bb8a613

Explabox: A Python Toolkit for Standardized Auditing and Explanation of Text Models

Autoren: Robeer, Marcel orcid:0000-0002-6430- Bron, Michiel et al.

Relation: https://github.com/MarcelRobeer/explabox/tree/v1.0.3; https://zenodo.org/records/17256331; oai:zenodo.org:17256331; https://doi.org/10.5281/zenodo.17256331

Verfügbarkeit: https://doi.org/10.5281/zenodo.17256331
https://zenodo.org/records/17256331

A Comprehensive Python Toolkit for Accessing High-Throughput Computing to Support Large Hydrologic Modeling Tasks.

Autoren: Christensen, Scott D. Swain, Nathan R. Jones, Norman L. et al.

Quelle: Journal of the American Water Resources Association; Apr2017, Vol. 53 Issue 2, p333-343, 11p

Schlagwörter: HYDROLOGIC models, STREAMFLOW, FLOODS, HYDROLOGISTS

Firma/Körperschaft: NATIONAL Science Foundation (U.S.)

ConeZen: A Python Toolkit for Characterizing and Visualizing Conical Intersection Topologies

Autoren: Dihingia, Kalpajyoti Maiti, Biswajit

Schlagwörter: Conical Intersection, Photochemistry, Nonadiabatic Dynamics, Visualization, Python

Relation: https://zenodo.org/records/16532036; oai:zenodo.org:16532036; https://doi.org/10.5281/zenodo.16532036

Verfügbarkeit: https://doi.org/10.5281/zenodo.16532036
https://zenodo.org/records/16532036

VSpipe-GUI, an Interactive Graphical User Interface for Virtual Screening and Hit Selection.

Autoren: Hussain, Rashid Hackett, Andrew Scott Álvarez-Carretero, Sandra et al.

Quelle: International Journal of Molecular Sciences; Feb2024, Vol. 25 Issue 4, p2002, 16p

Schlagwörter: GRAPHICAL user interfaces, PYTHON programming language, HEPATITIS C virus, CHEMICAL libraries, SPATIAL filters

PyVT: A toolkit for preprocessing and analysis of vessel spatio-temporal trajectories

Autoren: Ye Li Hongxiang Ren Haijiang Li

Quelle: SoftwareX, Vol 21, Iss , Pp 101316- (2023)

Schlagwörter: Vessel spatio-temporal trajectory, Preprocessing, Analytics, Python, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711023000122; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/d017681e0b9f4001a981446dfc2c0866

OpenSoundscape: An open‐source bioacoustics analysis package for Python

Autoren: Sam Lapp Tessa Rhinehart Louis Freeland‐Haynes et al.

Quelle: Methods in Ecology and Evolution, Vol 14, Iss 9, Pp 2321-2328 (2023)

Schlagwörter: acoustic monitoring, automated detection, bioacoustics, localization, machine learning, OpenSoundscape, Ecology, QH540-549.5, Evolution, QH359-425

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2041-210X

Zugangs-URL: https://doaj.org/article/43a70f0e10a341f0a9f83b2ab4a0c9ef