بدائل البحث:
effective implementation » effective prevention (توسيع البحث)
python effective » proven effective (توسيع البحث), obtain effective (توسيع البحث), 1_the effective (توسيع البحث)
code predicts » model predicts (توسيع البحث), index predicts (توسيع البحث), probe predicts (توسيع البحث)
effective implementation » effective prevention (توسيع البحث)
python effective » proven effective (توسيع البحث), obtain effective (توسيع البحث), 1_the effective (توسيع البحث)
code predicts » model predicts (توسيع البحث), index predicts (توسيع البحث), probe predicts (توسيع البحث)
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Initial Weight Models of Predictive Coding Deep Neural Network (Chainer & Pytorch)
منشور في 2021"…Sample Initial Weight Model of Predictive Coding Deep Neural Network.<div><br></div><div><div>Use the model with predictive coding deep neural network,</div><div>https://doi.org/10.6084/m9.figshare.5483710</div><div>and with training dataset,</div><div>https://doi.org/10.6084/m9.figshare.5483668</div><div><br></div><div>Sample command.…"
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Computing Mixture Adsorption in Porous Materials through Flat Histogram Monte Carlo Methods
منشور في 2023الموضوعات: -
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Five Operator Lattice Simulation
منشور في 2025"…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…"
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BSTPP: a python package for Bayesian spatiotemporal point processes
منشور في 2025"…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …"
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Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024
منشور في 2024"…The locations and directions of the predictions on the reads are then combined with the information about locations and directions of the reads on the genome using Python code to produce detailed results regarding the correct, incorrect and alternative starts and stops with respect to the genome-level annotation.…"
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Machine Learning Models for Predicting Infant Undernutrition in Rural Rajasthan, India Code and Dataset
منشور في 2024"…The code is extensively commented for clarity.</p><p dir="ltr">1. 1_low_birth_weight_model.py: Script for developing the low birth weight prediction model.…"
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Data and Codes to Support Geospatial Constrained Optimization
منشور في 2021"…<div><div>The shared files provide the data and code to support the paper, titled "Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants" to be published in <i>Spatial Statistics</i>. …"
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FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
منشور في 2025"…<p dir="ltr">This is the replication package associated with the paper: 'FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test for Code Repair'</p><p><br></p><p dir="ltr">### Requirements</p><p dir="ltr">This is a list of all required python packages:</p><p dir="ltr">-imbalanced_learn==0.8.1</p><p dir="ltr">-numpy==1.19.5</p><p dir="ltr">-pandas==1.3.3</p><p dir="ltr">-transformers==4.10.2</p><p dir="ltr">-torch==1.5.0</p><p dir="ltr">-scikit_learn==0.24.2</p><p dir="ltr">-openai==v0.28.1</p><p><br></p><p dir="ltr">#Automated tool for labelling dataset with flaky test fix categories</p><p><br></p><p dir="ltr">This is a step-by-step guideline for automatically labelling dataset with flaky test fix categories</p><p><br></p><p><br></p><p dir="ltr">### Input Files:</p><p dir="ltr">This is a an input file that is required to accomplish this step:</p><p dir="ltr">* Data/IdoFT_dataset_filtered.csv</p><p dir="ltr">https://figshare.com/s/47f0fb6207ac3f9e2351</p><p><br></p><p dir="ltr">### Output Files:</p><p dir="ltr">* Results/IdoFT_dataset_filtered.csv</p><p><br></p><p><br></p><p dir="ltr">### Replicating the experiment</p><p><br></p><p dir="ltr">This experiment can be executed using the following commands after navigating to the `Code\` folder:</p><p><br></p><p dir="ltr">```console</p><p dir="ltr">bash Automated_labelling_tool.sh</p><p>```</p><p><br></p><p dir="ltr">It will generate the dataset required to run our prediction models to predict the category of the fix, given a flaky test code</p><p><br></p><p>---</p><p><br></p><p dir="ltr"># Prediction models for fix categories using the test case code</p><p><br></p><p dir="ltr">This is the guideline for replicating the experiments we used to evaluate our prediction models i.e. …"
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Quanfima: An open source Python package for automated fiber analysis of biomaterials
منشور في 2019"…Due to the demand for reproducible science with Jupyter notebooks and the broad use of the Python programming language, we have developed the new Python package quanfima offering a complete analysis of hybrid biomaterials, that include the determination of fiber orientation, fiber and/or particle diameter and porosity. …"
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Actual value and predicted value of Bagging-SCNs.
منشور في 2024"…Second, the influencing factors, such as the weather- and week-type data, are coded. Then, combined with the data of influencing factors after coding, the Bagging-SCNs integration algorithm is used to predict the short-term load. …"
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