بدائل البحث:
been implemented » parent implemented (توسيع البحث), model implemented (توسيع البحث), _ implemented (توسيع البحث)
python been » python based (توسيع البحث)
been implemented » parent implemented (توسيع البحث), model implemented (توسيع البحث), _ implemented (توسيع البحث)
python been » python based (توسيع البحث)
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Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf
منشور في 2023"…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …"
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Tools used in implementing the RNN models.
منشور في 2024"…The development of standardized benchmarks for languages like Python, Scratch, and C#, along with cross-language comparisons, is essential. …"
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DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF
منشور في 2022"…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …"
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CPPE: An Open-Source C++ and Python Library for Polarizable Embedding
منشور في 2019"…We present a modular open-source library for polarizable embedding (PE) named CPPE. The library is implemented in C++, and it additionally provides a Python interface for rapid prototyping and experimentation in a high-level scripting language. …"
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GraSPy: an Open Source Python Package for Statistical Connectomics
منشور في 2019"…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …"
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Cost functions implemented in Neuroptimus.
منشور في 2024"…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. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …"
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