Search alternatives:
effective implementation » effective prevention (Expand Search)
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
effective implementation » effective prevention (Expand Search)
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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TQA Accuracy Comparison Chart on different LLM.
Published 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.
Published 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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Cost functions implemented in Neuroptimus.
Published 2024“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. …”
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PTPC-UHT bounce
Published 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
Published 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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Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11].
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Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5].
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Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28].
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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …”
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