Alg_DPF and dataset by chen yanhua (16717671)

“…<p dir="ltr">Implementing DPF mechanism in python code for solving wrapper feature selection problem </p>…”

scripts.zip by Michał Dobrski (11082210)

“…The code contains a Python 3 module (layers.py) implementing the algorithm described in the manuscript. …”

Spelling tree for the kernel (ha). by Tyler J. Gray (6162674)

“…We note that Mill has written a more recent paper based largely on this earlier work specialized for Python [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0232938#pone.0232938.ref039" target="_blank">39</a>], and an implementation for it as well [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0232938#pone.0232938.ref040" target="_blank">40</a>], but they both contain algorithmic bugs (detailed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0232938#pone.0232938.s003" target="_blank">S3 Appendix</a>).…”

Keyhole Imagery Global Coverage Dataset (1960–1984) by Hao Li (20223762)

“…</li><li><b>Code</b>: Python scripts implementing the three-step workflow (imagery classification, global grid generation, and point-based property calculation).…”

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx by Piyachat Udomwong (22563212)

“…Its efficiency and scalability make it well-suited for early-stage antibody discovery, repertoire profiling, and therapeutic design, particularly in the absence of structural data. The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…”

Human Mobility Pattern Mining by Hao Yang (17966435)

“…</p><p dir="ltr">I_LCS python file: This Python code implements the I_LCS algorithm, designed to estimate the similarity between two sequences.…”

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

“…<br></pre></pre><h2>Structure and How to run</h2><p dir="ltr">There are four Python files in the repository.</p><pre><pre>(i) `StrategyIteration.py` is the backend code, containing the implementation of the RPPI algorithm described in the paper.…”

Do Automatic Test Generation Tools Generate Flaky Tests? by Martin Gruber (11516842)

“…</li></ul><p dir="ltr"><b>LoC.zip</b></p><ul><li>contains lines-of-code data for the Java and Python projects</li></ul><p dir="ltr"><b>flaky_java_projects.zip</b> and <b>flaky_python_projects.zip</b></p><ul><li>archives containing the 418 Java and 531 Python projects that contained at least one flaky test</li><li>each project contains the developer written and generated test suites</li></ul><p dir="ltr"><b>manual_rootCausing.zip</b></p><ul><li>results of the manual root cause classification</li><li>full_sample.csv</li><li><ul><li>column "rater": which of the four researchers conducting the classification rated this test (alignment = all four)</li></ul></li><li>used to answer RQ3 (Root Causes)</li></ul><h2>Running the jupyter notebook</h2><ol><li>Download all artifacts</li><li>Create and activate virtual environment<br><code>virtualenv -p venv</code><br><code>source venv/bin/activate</code></li><li>Install dependencies<br><code>pip install -r requirements.txt</code></li><li>Start jupyter lab<br><code>python -m jupyter lab</code></li></ol><h2>Scripts used for test generation and execution</h2><p><br></p><ul><li><a href="https://github.com/firhard/evosuite-test-generation">Java (EvoSuite)</a></li><li><a href="https://github.com/FabianScharnboeck/FlakyExperiment">Python (Pynguin)</a></li></ul><p></p>…”

Simple Landlab diffusion model by Greg Tucker (3718546)

“…Example of a simple finite-volume numerical model of hillslope evolution, written in Python using theLandlab library. Model uses a diffusion equation to represent an evolving hillslope. …”

Molecular Structure Fit from Rotational Constants. by Thomas Schultz (4709470)

“…<div>This repository contains Python code for the fitting of molecular structure, based on isotopologue rotational constants. …”

MCCN Case Study 3 - Select optimal survey locality by Donald Hobern (21435904)

“…</p><p dir="ltr">This is a simple implementation that uses four environmental attributes imported for all Australia (or a subset like NSW) at a moderate grid scale:</p><ol><li>Digital soil maps for key soil properties over New South Wales, version 2.0 - SEED - see <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html" target="_blank">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html</a></li><li>ANUCLIM Annual Mean Rainfall raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer</a></li><li>ANUCLIM Annual Mean Temperature raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer</a></li></ol><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Generate STAC metadata for layers from predefined configuratiion</li><li>Load data cube and exclude nodata values</li><li>Scale all variables to a 0.0-1.0 range</li><li>Select four layers for comparison (soil organic carbon 0-30 cm, soil pH 0-30 cm, mean annual rainfall, mean annual temperature)</li><li>Select 10 random points within NSW</li><li>Generate 10 new layers representing standardised environmental distance between one of the selected points and all other points in NSW</li><li>For every point in NSW, find the lowest environmental distance to any of the selected points</li><li>Select the point in NSW that has the highest value for the lowest environmental distance to any selected point - this is the most different point</li><li>Clean up and save results to RO-Crate</li></ol><p><br></p>…”

MEG optimal fingerprint functional connectome sub-networks by Vasiles Balabanis (18936391)

“…The data is usable in the NumPy library with a recent version of Python.</p><p dir="ltr">The search space is 5.72 trillion, and our data is 46,071 sub-networks in <code>optimalSubnetworksAll.npy</code> in form (46071, 10). …”

Geological reservoir facies dataset by Daesoo Lee (13962204)

“…</p><p dir="ltr">Each csv file represents each facies sample, and can be imported in Python using the following code: `pd.read_csv(file_name, header=None).values` where pd denotes the pandas library. …”

Federated EMNIST Dataset by Saroj Mali (19140811)

“…</p><p dir="ltr">The <code>tf.data.Datasets</code> returned by <a href="https://www.tensorflow.org/federated/api_docs/python/tff/simulation/datasets/ClientData#create_tf_dataset_for_client" target="_blank"><code>tff.simulation.datasets.ClientData.create_tf_dataset_for_client</code></a> will yield <code>collections.OrderedDict</code> objects at each iteration, with the following keys and values, in lexicographic order by key:</p><ul><li><code>'label'</code>: a <a href="https://www.tensorflow.org/api_docs/python/tf/Tensor" target="_blank"><code>tf.Tensor</code></a> with <code>dtype=tf.int32</code> and shape [1], the class label of the corresponding pixels. …”

POLYFUZZ: Holistic Greybox Fuzzing of Multi-Language Systems by Wen Li (9306968)

“…PolyFuzz is extensible for supporting multilingual code using different language combinations and has been implemented for C/C++, Python, Java, and their combinations.…”

face recognation with Flask by Muammar, SST, M.Kom (21435692)

“…Built using the <b>Flask</b> web framework (Python), this system provides a lightweight and scalable solution for implementing facial recognition capabilities in real-time or on-demand through a browser interface.…”

Supplementary material to the journal article:  An active learning framework and assessment of inter-annotator agreement facilitate automated recogniser development for vocalisatio... by John van Osta (15795974)

“…The steps to setup a python environment in Visual Studio Code are described here: https://code.visualstudio.com/docs/python/environments, or more generally for python described here: https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/. …”

Attention and Cognitive Workload by Rui Varandas (11900993)

“…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”

<b>Anthropogenic nutrient inputs cause excessive algal growth for nearly half the world’s population</b> by Richard McDowell (7311011)

“…<p dir="ltr">Contains</p><p dir="ltr">Final Analysis Output.xlsx: Current and reference concentrations of DRP, TP, NO3-N and TN along with pivot table analysis</p><p dir="ltr">Code: Python code used to implement the model in ArcGIS Pro.…”

Digital Twin for Chemical Sciences by Jin Qian (19339035)

“…The procedure for generating data in Figure 3 can be found in the demo notebook in Supplementary Code. The procedure for generating data of Figure 4 has been uploaded in fig4_figshare.zip file. …”