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tool implementing » model implementing (Expand Search), trial implementing (Expand Search), _ implementing (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
tool implementing » model implementing (Expand Search), trial implementing (Expand Search), _ implementing (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
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81
CSMILES: A Compact, Human-Readable SMILES Extension for Conformations
Published 2025“…As such, canonical CSMILES strings are invariant to atom reordering, rigid translation, and rigid rotation. A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …”
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82
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83
Spherical Texture method design.
Published 2025“…<b>H)</b> The <i>Spherical Texture</i> extraction is implemented as a Python package and it is directly available in <i>ilastik</i>, allowing for its adoption into the Object Classification workflow. …”
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84
High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
Published 2025“…MSPepSearch is a single-threaded tool; therefore, parallelization was achieved externally by running multiple instances from within R. …”
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85
HCC Evaluation Dataset and Results
Published 2024“…<p dir="ltr">This archive contains the evaluation data we produced during the evaluation of our prototype implementation of HCC from our paper <i>HCC: A Language-Independent Hardening Contract Compiler for Smart Contracts</i>.…”
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86
Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis
Published 2025“…</b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.</p><h3><b>2. …”
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87
Code for High-quality Human Activity Intensity Maps in China from 2000-2020
Published 2025“…<p dir="ltr">Code and remote sensing images and interpretation results of the samples for uncertainty analysis for "High-quality Human Activity Intensity Maps in China from 2000-2020"</p><p dir="ltr">“Mapping_HAI.py”:We generated the HAI maps using ArcGIS 10.8, and the geoprocessing tasks were implemented using Python 2.7 with the ArcPy library (ArcGIS 10.8 + Python 2.7 environment). …”
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88
The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network"
Published 2024“…</li></ul><h2>Codes</h2><p dir="ltr">This repository contains the following Python codes:</p><ul><li>`data_processing.py`: Contains the implementation of data processing and feature extraction. …”
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89
Overview of deep learning terminology.
Published 2024“…Training loops are implemented with the luz package. The geodl package provides utility functions for creating raster masks or labels from vector-based geospatial data and image chips and associated masks from larger files and extents. …”
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90
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Comparison data 7 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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92
Sample data for <i>Neolamprologus multifasciatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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93
Sample data for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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94
Comparison data 3 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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95
Sample data for <i>Telmatochromis temporalis</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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96
Comparison data 4 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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97
Comparison data 1 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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Comparison data 2 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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99
Comparison data 5 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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100
Comparison data 6 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”