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assess implementation » time implementation (Expand Search)
model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
python model » python code (Expand Search), python tool (Expand Search), action model (Expand Search)
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141
Missing Value Imputation in Relational Data Using Variational Inference
Published 2025“…Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. …”
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142
<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b>
Published 2025“…<p dir="ltr">This repository contains the analysis code and derived outputs for the study <i>“Training Sample Location Matters: Accuracy Impacts in LULC Classification”</i>. The workflow was implemented in Google Earth Engine (JavaScript API) and replicated in Python notebooks (Jupyter/Kaggle) for reproducibility.…”
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143
Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees
Published 2024“…We find that our parallel sampler yields improved mixing properties in comparison to the single-move variate, and outperforms current state-of-the-art methods in terms of accuracy and computational efficiency. The implementation of our work is available in the Python package parallelDG. …”
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144
Data and software for "Social networks affect redistribution decisions and polarization"
Published 2025“…</p><p dir="ltr">The repository contains data in .csv and .xlsx format, model code in .nlogox Netlogo format, analysis code in .ipynb Jupyter notebooks, and helping code in .py Python files.…”
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Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025)
Published 2025“…<br></p><p dir="ltr">Journal paper introduces RUVPY, a Python software library which implements the Relative Utility Value (RUV) method. …”
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146
<b>Altered cognitive processes shape tactile perception in autism.</b> (data)
Published 2025“…The perceptual decision-making setup was controlled by Bpod (Sanworks) through scripts in Python (PyBpod, https://pybpod.readthedocs.io/en/latest/). …”
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Cathode carbon block material parameters [14].
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
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Sodium concentration distribution cloud map.
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
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151
Sodium binding coefficient R.
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
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The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network"
Published 2024“…</p><h3><b>Model training</b></h3><h4><code>python train_GTN.py</code></h4><p dir="ltr">This step trains the GTN model. …”
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Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1
Published 2025“…The database also includes three averaged multi-model ensembles produced for each of the four emission scenarios:</p><p>**************************************************************************************************************************</p><p dir="ltr">The Global Aridity Index (Global-AI) and Global Reference Evapo-Transpiration (Global-ET0) datasets provided in Version 3.1 of the Global Aridity Index and Potential Evapo-Transpiration (ET0) Database (Global-AI_PET_v3.x1) provide high-resolution (30 arc-seconds) global raster data for the 1970-2000 period, related to evapotranspiration processes and rainfall deficit for potential vegetative growth, based upon implementation of the FAO-56 Penman-Monteith Reference Evapotranspiration (ET<sub>0</sub>) equation.…”
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Data files accompanying our PLoS One publication
Published 2025“…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…”
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Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b>
Published 2025“…</p><p dir="ltr">GPU:NVIDIA GeForce RTX 3090 GPU</p><p dir="ltr">Bert-base-cased pre-trained model: https://huggingface.co/google-bert/bert-base-cased</p><p dir="ltr">python=3.7,pytorch=1.9.0,cudatoolkit=11.3.1,cudnn=8.9.7.29.…”