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python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
new implementation » _ implementation (Expand Search), model implementation (Expand Search), after implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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Scripts, data and figures underpinning 'Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming'
Published 2024“…<p dir="ltr">These Python notebooks implement the techniques described in the paper "Towards the Creation of Legible Octilinear Power Grid Diagrams Using Mixed Integer Linear Programming".…”
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Code and data for reproducing the results in the original paper of DML-Geo
Published 2025“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”
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Reproducible Code and Data for figures
Published 2025“…</i></p><p dir="ltr">It contains:</p><p dir="ltr">✅ <b>Python Code</b> – Scripts used for data preprocessing, and visualization.…”
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software code of NeoDesign
Published 2024“…<h2>Implementation and Dependencies</h2><p dir="ltr">neoDesign was developed with python (recommend>3.9) and shell (bash) language. …”
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DA-Faster-RCNN code
Published 2025“…The implementation is written in Python using PyTorch and Detectron2.…”
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Simulation Code and Raw Data
Published 2025“…<p dir="ltr">Reproducible code (Python) implementing a symmetrized split-step Fourier method (SSFM), with configuration files for all scans. …”
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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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RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
Published 2025“…<br>│ │ └── uml_dag.py # UML dependency graph analysis.<br>│ ├── model_gen/ # Code generation using various LLMs.<br>│ │ ├── generate/ # LLM inference implementations.…”
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A game of life with dormancy - Code
Published 2024“…</p><ul><li>To run an animated simulation, use `python simulation.py'.</li><li>The implementation of Spore Life can be found in gol.py.…”
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<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b>
Published 2025“…</li><li>Python/Kaggle notebooks (<code>.ipynb</code>): reproducibility pipeline for accuracy metrics and statistical analysis.…”
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Performance comparison of cyber security techniques in IoMT healthcare devices.
Published 2025Subjects: -
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The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
Published 2025“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”
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The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
Published 2025“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”