Bayesian Neural Network-Based Ground Motion Model for Horizontal and V/H spectral ordinate with Epistemic Uncertainty for the European Region حسب jyothi yedulla (18319545)

"…<p dir="ltr">The Python code provides the computation of 100 predictions using the proposed BNN model for the given input parameters which includes Moment magnitude (M_w), Joyner-Boore distance (R_JB), Shear wave velocity (V_s30), focal depth (d) and focal mechanism.…"

LNP drug delivery image data حسب Philip Harrison (8899735)

"…</div><div><br></div><div><u>Python code:</u></div><div><a href="https://github.com/pharmbio/phil_LNP_modelling">https://github.com/pharmbio/phil_LNP_modelling</a><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><p></p>…"

Supplementary Material for review——Revealing the co-occurrence patterns of the group emotions from social media data حسب Yang Hua (21399140)

"…</p><p dir="ltr">研究区域边界数据文件位于：“data/420000.geojson”</p><p><br></p><p dir="ltr">2.2 数据处理流程</p><p dir="ltr">python code/clear_duplicate.py # 原始数据清洗；获得清洗后的数据，文件位置：“data/wh_data_cleaned.csv”</p><p dir="ltr">三、结果复现说明</p><p dir="ltr">请依次运行以下脚本以生成对应图表/表格。…"

Numerical analysis and modeling of water quality indicators in the Ribeirão João Leite reservoir (Goiás, Brazil) حسب Amanda Bueno de Moraes (22559249)

"…The code implements a statistical–computational workflow for parameter selection (VIF, Bartlett and KMO tests, PCA and FA with <i>varimax</i>) and then trains and evaluates machine-learning models to predict three key physico-chemical indicators: turbidity, true color, and total iron. …"

Missing Value Imputation in Relational Data Using Variational Inference حسب Simon Fontaine (7046618)

"…Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. …"

Geometric Mechanics and Stokes’ Theorem in Robotic Locomotion حسب Umar Tabbsum (22058780)

"…<p dir="ltr">This research develops a rigorous mathematical framework for analyzing and predicting robotic locomotion using the principles of geometric mechanics. …"

HMRLBA_V1.0 حسب Zhenyu Huang (20153082)

"…<h2><b>HMRLBA</b></h2><p dir="ltr">This is a repository to deposit the data and code for HMRLBA model. HMRLBA is a hierarchical multi-scale representation learning model for predicting protein-ligand binding affinity.…"

Horuss Research: methodology for validating unstructured data using large language models حسب Fabiano Castello (6803171)

"…First, data is collected via RPA tools like Python/Selenium. The data is then passed to three distinct LLMs, producing three JSON outputs to minimize hallucinations—errors where AI generates inaccurate details. …"

Judge the Votes: A System to Classify Bug Reports and Give Suggestions حسب Emre Dinç (21720032)

"…The data folder contains 2 files: training.csv, and bug_reports.csv. training.csv contains only 2 columns text and label, and it is the version we used when training the models. bug_reports.csv contains the columns and ids we have retrieved from Bugzilla. The code folder contains the .ipynb files we used when creating the dataset, training ML models, fine-tuning BERT-based models, and getting predictions from LLMs with both zero-shot and few-shot settings. …"

Murakami et al. Supplemental Data for "Microstructural Analysis of Li-Ion Conductors with Deep Learning and SEM Images" حسب Kento Murakami (21260244)

"…</p><h2><b>SEM_images.zip</b>: </h2><p dir="ltr">These files consists of SEM images and numerical datasets (descriptors and objective variables) of composition, sintering temperature, and ionic conductivities for 52 samples (1-3 SEM images are included per 1 sample, total 130 images)</p><h2><b>python_codes.zip</b>: </h2><p dir="ltr">Python codes for four convolutional neural network (CNN) models used to investigate the relationship between these image data and ionic conductivity are provided.…"

ML for anomalous diffusion model حسب Yuehua Zhao (8498052)

"…<p dir="ltr"><b>ML for anomalous diffusion model</b></p><p dir="ltr">Dapeng Wang</p><p>7.24.2025</p><p dir="ltr">This repository contains the necessary codes written in Python 3 to train the classifiers.…"

Critical Planck Spin Dynamics (CPSD): A Geometric Quantum Spacetime with Zero Free Parameters حسب Daniel Zunzunegui (22583093)

"…Complete Python verification code included.</p><p><br></p><p dir="ltr">This work solves the hierarchy problem, explains dark energy as geometric anisotropy, and predicts the universe's ultimate fate as "Big Silence" - eternal expansion at c/φ ≈ 0.618c.…"

Multi-Task Learning in Analyzing the Working capacity of MOFs حسب Junhui Kou (20327073)

"…</p><ul><li><b>CIF files</b>: CIF files for 252,352 MOFs;</li><li><b>Geometric descriptors</b>: 14 geometric descriptors;</li><li><b>Chemical descriptors</b>: 176 chemical descriptors;</li><li><b>Methane_v, Methane_g</b>: Volumetric and gravimetric working capacities for methane adsorption, including methane adsorption data under six pressures across three application scenarios (landfill gas treatment, methane purification, and methane storage);</li><li><b>MTL4MOFsWC</b>: Python code for training the MTL models to predict the working capacity of methane adsorption in MOFs;</li><li><b>best_model_v_full, best_model_v_sim, best_model_g_full, best_model_g_sim</b>: Pre-trained MTL models.…"

TB PROSPECT - Reference-based chemical-genetic interaction profiling to elucidate small molecule mechanism of action in Mycobacterium tuberculosis حسب Austin Bond (20723383)

"…GCTx format is a binary file used to store the scores in matrix format with annotated row and column metadata in a compressed, memory-efficient manner. Code libraries in Matlab (cmapM), Python (cmapPy), and R (cmapR) are publicly available on Github to work with it. …"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …"

Enhancing Healthcare Transparency: Leveraging Machine Learning, GIS Mapping and Power BI for Private Hospital Insurance Claims Analysis حسب Maryam Binti Haji Abdul Halim (20249544)

"…</p><p dir="ltr">Key Features and Tools:</p><ul><li><b>Machine Learning Algorithms:</b> Leveraging <b>Python (pandas, numpy, scikit-learn)</b> for predictive modeling to assess claim validity and treatment outcomes.…"

Dataset for:Exploring the Pharmacological Properties and Mechanism of Action of Lithocarpus litseifolius (Hance) Chun. in Treating Diabetic Neuropathy Based on SwissADME, Network P... حسب Xiaoyong Wang (22361497)

"…</p><p dir="ltr">Software & code</p><p dir="ltr">R 4.4.2 scripts for GO/KEGG (clusterProfiler, enrichplot, ggplot2) and Python notebooks for data cleaning are provided in the Code/ folder.…"

Environmental Census: Modeling Synthetic Biology Ecological Risk with Metagenomic Enzymatic Data and High-Performance Computing حسب John Docter (22772100)

"…Here, we present <i>EnCen</i>, a risk assessment Python software package that predicts the environmental range of engineered microorganisms through annotated functional one-hot-encoded similarity between the engineered microorganism and resident microorganisms of a given environment. …"

<b>Engineered Muscle-Derived Extracellular Vesicles Boost Insulin Sensitivity and Glucose Regulation</b> حسب Hagit Shoyhet (21090650)

"…</p><p dir="ltr"><b>miR_path_target_enrichment.csv</b></p><p dir="ltr"><b>Description:</b> KEGG pathway enrichment analysis results of shared mRNA targets of miRNAs miR-16-5p, miR-122-5p and miR-486-5p ranked by their interaction score defined in our paper. this includes the pathway name, the enrichment p-value, number of genes found in the term and number of miRNAs targeting these genes</p><p dir="ltr"><b>Code/software</b></p><p dir="ltr">Data were analyzed using R-V4.0.4, Python-V3.9.2 and GraphPad software. miRNA analyses were run in R-V4.0.4 Differential expression analysis was conducted using the “DEseq2” package and corrected for multiple hypotheses by FDR. …"

Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100) حسب peng xin (21382394)

"…The corrected bias functions were then applied to adjust the years (2020–2100) of daily rainfall data using the "ibicus" package, an open-source Python tool for bias adjustment and climate model evaluation. …"