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

“…<br>│ │ └── uml_dag.py # UML dependency graph analysis.<br>│ ├── model_gen/ # Code generation using various LLMs.<br>│ │ ├── generate/ # LLM inference implementations.…”

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

“…The implementation is written in Python using PyTorch and Detectron2.…”

BlueRecording simulates hippocampal LFP. by Joseph James Tharayil (21416715)

<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b> by Pajtim Zariqi (22155799)

“…The workflow was implemented in Google Earth Engine (JavaScript API) and replicated in Python notebooks (Jupyter/Kaggle) for reproducibility.…”

A game of life with dormancy - Code by Daniel Henrik Nevermann (20376933)

“…</p><ul><li>To run an animated simulation, use `python simulation.py'.</li><li>The implementation of Spore Life can be found in gol.py.…”

Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”

Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …”

Probabilities of normal and various cyber attack types over time sequence. by Mohanad Faeq Ali (21354273)

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Graphical abstract of HCAP. by Mohanad Faeq Ali (21354273)

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Recall analysis. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on varying cyber attack types. by Mohanad Faeq Ali (21354273)

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Analysis of IoMT data sources. by Mohanad Faeq Ali (21354273)

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Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

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<b> </b> Precision analysis. by Mohanad Faeq Ali (21354273)

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Convergence rate analysis. by Mohanad Faeq Ali (21354273)

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Computational efficiency. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

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Performance comparison of cyber security techniques in IoMT healthcare devices. by Mohanad Faeq Ali (21354273)

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Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

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Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

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