بدائل البحث:
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
code implementation » time implementation (توسيع البحث), world implementation (توسيع البحث), _ implementation (توسيع البحث)
code implemented » model implemented (توسيع البحث), have implemented (توسيع البحث), widely implemented (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
code implementation » time implementation (توسيع البحث), world implementation (توسيع البحث), _ implementation (توسيع البحث)
code implemented » model implemented (توسيع البحث), have implemented (توسيع البحث), widely implemented (توسيع البحث)
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The format of the weights file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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Overview of the implemented simulation tool and training framework in Diffrax.
منشور في 2025الموضوعات: -
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RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
منشور في 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
منشور في 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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Code and data for reproducing the results in the original paper of DML-Geo
منشور في 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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Data and code for: Automatic fish scale analysis
منشور في 2025"…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …"
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Testing Code for JcvPCA and JsvCRP.
منشور في 2025"…<p>This file contains the code that implements both metrics in python and apply them on a simulated dataset.…"
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PTPC-UHT bounce
منشور في 2025"…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"
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71
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
منشور في 2025"…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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Jaxkineticmodel allows for hybridizing kinetic models with neural networks.
منشور في 2025الموضوعات: -
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The codes and data for "Lane Extraction from Trajectories at Road Intersections Based on Graph Transformer Network"
منشور في 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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Data sets and coding scripts for research on sensory processing in ADHD and ASD
منشور في 2025"…The repository includes raw and matched datasets, analysis outputs, and the full Python code used for the matching pipeline.</p><h4>Ethics and Approval</h4><p dir="ltr">All procedures were approved by the University of Sheffield Department of Psychology Ethics Committee (Ref: 046476). …"
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The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
منشور في 2025"…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"