بدائل البحث:
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
python model » python tool (توسيع البحث), action model (توسيع البحث), motion model (توسيع البحث)
python time » python files (توسيع البحث)
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
python model » python tool (توسيع البحث), action model (توسيع البحث), motion model (توسيع البحث)
python time » python files (توسيع البحث)
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E-EVAL experimental results.
منشور في 2025"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"
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TQA Accuracy Comparison Chart on different LLM.
منشور في 2025"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"
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ScienceQA experimental results.
منشور في 2025"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"
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Overview of the implemented simulation tool and training framework in Diffrax.
منشور في 2025الموضوعات: -
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PTPC-UHT bounce
منشور في 2025"…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"
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Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management
منشور في 2024"…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…"
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Jaxkineticmodel allows for hybridizing kinetic models with neural networks.
منشور في 2025الموضوعات: -
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Prediction accuracy analysis over time steps.
منشور في 2025"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"
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