بدائل البحث:
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
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python b » python _ (توسيع البحث), python 3 (توسيع البحث)
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
b representing » _ representing (توسيع البحث), 2 representing (توسيع البحث), nf representing (توسيع البحث)
python b » python _ (توسيع البحث), python 3 (توسيع البحث)
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161
Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model
منشور في 2025"…</p><p dir="ltr">The dataset is organized into three ZIP files:</p><ul><li><b>DEPTHS.zip (319.5 MB)</b><br>This archive contains high-resolution GeoTIFF raster files representing water depth outputs from TELEMAC-2D simulations. …"
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162
Probabilistic-QSR-GeoQA
منشور في 2024"…<p dir="ltr">The code and data are related to the paper Mohammad Kazemi Beydokhti, Matt Duckham, Amy L. …"
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163
Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx
منشور في 2025"…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.…"
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164
CompuCrawl: Full database and code
منشور في 2024"…</li><li><i>02 Collect further pages.py</i>: Python script scraping the list of URLs one page deeper in the domains.…"
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165
Concurrent spin squeezing and field tracking with machine learning
منشور في 2025"…<p dir="ltr">The dataset contains:</p><ol><li>Steady_squeezing.zip <b>a)</b> data for steady squeezing data and characteraztion <b>b)</b> data for pulse RF magnetormeter</li><li>Tracking1.zip <b>a)</b> data of OU process for Deep learning <b>b)</b> data of OU-jump process for Deep learning</li><li>Tracking2.zip <b>a)</b> data of white noise process in backaction experiment <b>b) </b>data of white noise process in rearrange experiment</li><li>Code <b>a)</b> Randomly signal generating code <b>b)</b> Deep learning codec.data pre-processing code</li></ol><p dir="ltr">The network is implemented using the torch 1.13.1 framework and CUDA 11.6 on Python 3.8.8. …"
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166
Accompanying data files (Melbourne, Washington DC, Singapore, and NYC-Manhattan)
منشور في 2025"…</p><p dir="ltr">Each zipped folder consists the following files:</p><ul><li>Graph data - City object nodes (.parquet) and COO format edges (.txt)</li><li>predictions.txt (model predictions from GraphSAGE model)</li><li>final_energy.parquet (Compiled training and validation building energy data)</li></ul><p dir="ltr">The provided files are supplementary to the code repository which provides Python notebooks stepping through the data preprocessing, GNN training, and satellite imagery download processes. …"
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167
6. Motif Code Theory
منشور في 2025"…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"
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168
Methodological overview.
منشور في 2025"…The left panel illustrated the averaged sensory-level TMS-evoked potential waveforms. (B) By applying the Sparse nonnegative matrix factorization (sNMF) method, the TMS-evoked activity was decomposed into co-activation modules, representing spatially specific network components, and time-varying weights, representing temporal expressions of modules. …"
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169
Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis
منشور في 2025"…</p><h2><b>Included Files</b></h2><h3><b>1. </b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.…"
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170
face recognation with Flask
منشور في 2025"…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.…"
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171
Single Cell DNA methylation data for Human Brain altas (MajorType+Region CG allc files)
منشور في 2025"…</p><p dir="ltr">PMID: 37824674</p><p><br></p><h2>How to download</h2><p dir="ltr">To quickly download the whole folder, Python package <a href="https://github.com/DingWB/pyfigshare" rel="noreferrer" target="_blank">pyfigshare</a> can be implemented. please refer to pyfigshare documentation: <a href="https://github.com/DingWB/pyfigshare" rel="noreferrer" target="_blank">https://github.com/DingWB/pyfigshare</a></p><p dir="ltr">for example: <code>figshare download 28424780 -o downlnoaded_data</code></p>…"
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172
IGD-cyberbullying-detection-AI
منشور في 2024"…</p><h2>Requirements</h2><p dir="ltr">To run this code, you'll need the following dependencies:</p><ul><li>Python 3.x</li><li>TensorFlow</li><li>scikit-learn</li><li>pandas</li><li>numpy</li><li>matplotlib</li><li>imbalanced-learn</li></ul><p dir="ltr">You can install the required dependencies using the provided <code>requirements.txt</code> file.…"
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173
Missing and Unaccounted-for People in Mexico (1960s–2025)
منشور في 2025"…</li></ul><p dir="ltr"><b>Additional Materials:</b></p><ol><li><b>Python Script:</b> A Python script to generate customizable visualizations based on the dataset. …"
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174
Overview of generalized weighted averages.
منشور في 2025"…GWA-UCB1 outperformed G-UCB1, UCB1-Tuned, and Thompson sampling in most problem settings and can be useful in many situations. The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…"
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175
Automatic data reduction for the typical astronomer
منشور في 2025"…PypeIt has been developed by a small team of astronomers with two leading philosophies: (1) build instrument-agnostic code to serve nearly any spectrograph; (2) implement algorithms that achieve Poisson-level sky-subtraction with minimal systematics to yield precisely calibrated spectra with a meaningful noise model. …"
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176
Concurrent spin squeezing and field tracking with machine learning
منشور في 2025"…Randomly signal generating codeb.Deep learning codec.data pre-processing code The network is implemented using the torch 1.13.1 framework and CUDA 11.6 on Python 3.8.8. …"
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177
Audio Datasets of belt conveyor rollers in mines
منشور في 2024"…</li><li><b>Python Code: </b>This code validates the accuracy and usability of the audio feature datasets in real-time monitoring of belt conveyor roller operational states.…"
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178
Oka et al., Supplementary Data for "Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries"
منشور في 2024"…"Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries". (<b>DOI:</b> 10.1038/s41598-024-80371-9 )<br><br>A zip file contains following data and codes.…"
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179
Indirect Reciprocity and the Evolution of Prejudicial Groups
منشور في 2024"…Two reputation values are maintained per individual representing the views of the agent’s own group (group reputation) and those of others external to the group (universal reputation). …"
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180
Neural-Signal Tokenization and Real-Time Contextual Foundation Modelling for Sovereign-Scale AGI Systems
منشور في 2025"…</p><p dir="ltr"><b>Availability</b> — The repository includes LaTeX sources, trained model checkpoints, Python/PyTorch code, and synthetic datasets. Data are released under a Creative Commons Attribution-NonCommercial-4.0 (CC BY-NC 4.0) license; code under MIT License.…"