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model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
python model » action model (Expand Search), motion model (Expand Search)
model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
python model » action model (Expand Search), motion model (Expand Search)
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Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.
Published 2025Subjects: -
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Code
Published 2025“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
Published 2024“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”
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DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
Published 2024“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”
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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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High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
Published 2025“…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …”
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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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