بدائل البحث:
modular implementation » model implementation (توسيع البحث), world implementation (توسيع البحث)
modular implementation » model implementation (توسيع البحث), world implementation (توسيع البحث)
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81
DA-Faster-RCNN code
منشور في 2025"…The implementation is written in Python using PyTorch and Detectron2.…"
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82
Reproducible Code and Data for figures
منشور في 2025"…</i></p><p dir="ltr">It contains:</p><p dir="ltr">✅ <b>Python Code</b> – Scripts used for data preprocessing, and visualization.…"
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83
Simulation Code and Raw Data
منشور في 2025"…<p dir="ltr">Reproducible code (Python) implementing a symmetrized split-step Fourier method (SSFM), with configuration files for all scans. …"
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84
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85
The format of the electrode csv file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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86
The format of the simulation reports
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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87
Comparison of BlueRecording with existing tools
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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88
The format of the weights file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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89
Five Operator Lattice Simulation
منشور في 2025"…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…"
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90
RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
منشور في 2025"…<br>│ ├── model_gen/ # Code generation using various LLMs.<br>│ │ ├── generate/ # LLM inference implementations.…"
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91
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93
A game of life with dormancy - Code
منشور في 2024"…</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.…"
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94
Simple implementation examples of agent AI on free energy calculation and phase-field simulation
منشور في 2025"…</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.…"
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95
Values of several parameters used in the model.
منشور في 2025"…The computational framework includes the possibility to simulate, on a given (possibly modified) geometry, a test to measure the flow resistance of the lungs (including its component due to the not fully developed flow in the first generations of lungs), a test to measure the concentration of nitric oxide in the exhaled air, and a test to measure the diffusion capacity for nitric oxide. This is implemented in the framework by solving different transport equations (momentum and convection/diffusion) describing these tests. …"
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96
Haze in the real world makes image quality worse.
منشور في 2025"…Furthermore, synthetically generated data frequently exhibit marked disparities from authentic scenarios, thereby limiting model generalizability. Despite diffusion-based approaches demonstrating superior image reconstruction performance, their data-driven implementations face comparable limitations. …"
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97
Performance comparison on RTTS test set.
منشور في 2025"…Furthermore, synthetically generated data frequently exhibit marked disparities from authentic scenarios, thereby limiting model generalizability. Despite diffusion-based approaches demonstrating superior image reconstruction performance, their data-driven implementations face comparable limitations. …"
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98
Performance comparison on RTTS test set.
منشور في 2025"…Furthermore, synthetically generated data frequently exhibit marked disparities from authentic scenarios, thereby limiting model generalizability. Despite diffusion-based approaches demonstrating superior image reconstruction performance, their data-driven implementations face comparable limitations. …"
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99
Performance comparison on RTTS test set.
منشور في 2025"…Furthermore, synthetically generated data frequently exhibit marked disparities from authentic scenarios, thereby limiting model generalizability. Despite diffusion-based approaches demonstrating superior image reconstruction performance, their data-driven implementations face comparable limitations. …"
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100