RabbitSketch by tong zhang (20852432)

“…RabbitSketch achieves significant speedups compared to existing implementations, ranging from 2.30x to 49.55x.In addition, we provide flexible and easy-to-use interfaces for both Python and C++. …”

NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

“…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …”

Artifact for the IJCAI 2024 paper "Solving Long-run Average Reward Robust MDPs via Stochastic Games" by Krishnendu Chatterjee (15367413)

“…</p><p dir="ltr">To run each of the experiments, simply execute: <code>python3 [experiment file]</code> where <code>[experiment file]</code> is one of (ii), (iii) or (iv) from the above list.…”

Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning by Joan Alexander (17047170)

“…Establishing a framework for implementing and testing ML-based parameterizations in atmospheric models. …”

DA-Faster-RCNN code by Seunghyeon Wang (16500132)

“…<p dir="ltr">This repository provides the code used in the paper “Domain-Adaptive Faster R-CNN for Non-PPE Identification on Construction Sites from Body-Worn and General Images.” The implementation is written in Python using PyTorch and Detectron2.…”

Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications，DOI：10.1038/s41467-024-53943-6 by Xiao-Xiao Wang (2447920)

“…Extract homologs for all the 501 samples</p><p dir="ltr"><i>python2 blast_to_mcl.py all.rawblast 0.25 >mcl_all_rawblast_out_nohup_out_0.25</i></p><p dir="ltr"><i>mcl mcl_all_rawblast_out_nohup_out_0.25 --abc -te 80 -tf 'gq(5)' -I 1.5 -o hit-frac0.25_I1.5_e5</i></p><p dir="ltr"><i>python2 write_fasta_files_from_mcl.py all.fa hit-frac0.25_I1.5_e5 minimal_taxa outDIR</i></p><p><br></p><p dir="ltr"><b>Step 5: Build Maximum likelihood tree for each homolog group</b></p><p dir="ltr"><i>python2 fasta_to_tree_pxclsq.py fasta_dir number_cores dna bootstrap(y)</i></p><p><br></p><p dir="ltr"><b>Step 6: Extract ortholog groups</b></p><p dir="ltr">Instead of 1to1, MI, RT, or MO methods in Ya et al. (2014), we used a revised version of DISCO (https://github.com/JSdoubleL/DISCO) to infer homologs. …”

Spotted owl habitat quality maps and disturbance attribution analysis by Josh Barry (7573823)

“…Users may derive annual gains or losses in habitat quality from these layers and apply the provided ArcPython workflow (nest_fire_zonal_stats.py) to attribute change to specific disturbance drivers. …”

adnus by Mehmet Keçeci (14301782)

“…<p dir="ltr">adnus (AdNuS): Advanced Number Systems</p><p dir="ltr">adnus is a Python library that provides an implementation of various advanced number systems. …”

Overview of generalized weighted averages. by Nobuhito Manome (8882084)

“…The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…”

Data and software for "Social networks affect redistribution decisions and polarization" by Milena Tsvetkova (11217969)

“…<p dir="ltr">Data from agent based models and experiments with human participants recruited from Prolific, together with code for the models and analysis. …”

Data files accompanying our PLoS One publication by Peter Hinow (21810605)

“…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…”

World Heritage documents reveal persistent gaps between climate awareness and local action by Yang Chen (20756166)

“…The documents are sourced from publicly available official reports. The analysis section includes a GLM model implemented in R, along with evaluation tools such as correlation heatmaps, ICC agreement analysis, and MCC-based binary classification assessment. …”

A Structured Attempt at a Polynomial-Time Solution to the Subset Sum Problem and Its Implications for P vs NP by MInakshi Aggarwal (21677633)

“…The manuscript includes theoretical formulation, Python implementation, verified output snapshots, and detailed analysis — aimed at opening fresh discourse on the P vs NP question. …”

Automatic data reduction for the typical astronomer by Bradford Holden (21789524)

“…<p dir="ltr">The PypeIt data reduction pipeline (DRP) is a Python-based software package designed to transform “raw” spectroscopic data from an astronomical spectrometer into calibrated, science-ready products. …”

DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF by Shivani V. Pawar (20355171)

“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”

DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF by Shivani V. Pawar (20355171)

“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices by RealBench RealBench (22275393)

“…<br><br>## Abstract<br><br>> Repository-level code generation seeks to automate software development by generating complete codebases from specifications. While existing benchmarks like HumanEval evaluate LLMs on generating code from natural language requirements alone, they fail to reflect real-world industry practices where developers primarily work from structured system designs like UML diagrams. …”

Soulware-Lite by Abhiram Gnyanijaya (21572942)

“…</p><p><br></p><p dir="ltr">Soulware-Lite is the first live implementation of a cognitive conscience layer, born from architectural failures in AI output hallucination and anchored by integrity principles like MAP/ARP and RDIP. …”

Gene Editing using Transformer Architecture by Rishabh Garg (5261744)

“…Implementation requires Python and deep learning frameworks like TensorFlow or PyTorch, with optional use of Biopython for genetic sequence handling. …”

Data sets and coding scripts for research on sensory processing in ADHD and ASD by Vesko Varbanov (9687029)

“…Informed consent was obtained from all participants, and all data have been anonymised following institutional and GDPR requirements.…”