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time implementation » _ implementation (Expand Search), policy implementation (Expand Search), effective implementation (Expand Search)
python time » python files (Expand Search)
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Multiprocessing and GPU application of SVMs significantly reduces run-times.
Published 2022Subjects: -
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Overview of the implemented simulation tool and training framework in Diffrax.
Published 2025Subjects: -
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PypKa: A Flexible Python Module for Poisson–Boltzmann-Based p<i>K</i><sub>a</sub> Calculations
Published 2020“…This is a free and open-source tool that provides a simple, reusable, and extensible Python API and CLI for p<i>K</i><sub>a</sub> calculations with a valuable trade-off between fast and accurate predictions. …”
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Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf
Published 2019“…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …”
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Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning
Published 2024“…The introduction of potential uses of machine learning to undergraduate chemistry students should help to increase their comprehension of and interest in machine learning processes and can help support them in their transition into graduate research and industrial environments that use such tools. Herein we present an exercise aimed at introducing machine learning alongside improving students’ general Python coding abilities. …”
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Table_1_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.xlsx
Published 2019“…BayesPI-BAR2 is a useful tool for predicting functional non-coding mutations in whole genome sequencing data: it allows identification of novel transcription factors (TFs) whose binding is altered by non-coding mutations in cancer. …”
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Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx
Published 2019“…BayesPI-BAR2 is a useful tool for predicting functional non-coding mutations in whole genome sequencing data: it allows identification of novel transcription factors (TFs) whose binding is altered by non-coding mutations in cancer. …”
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Python source code of the framework.
Published 2023“…<p>This supplementary file contains the complete Python source code for training the machine learning models to predict patient medication responses and for generating optimized medication schedules.…”
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Shoreline Prediction ArcPy Tool
Published 2019“…The included tool was written in Python with ArcPy commands that allow it to use the ArcGIS infrastructure. …”
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DataSheet1_Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.PDF
Published 2021“…The multi-scale CNNs outperform the single-magnification CNN for both classification and segmentation tasks. The code is developed in Python and it will be made publicly available upon publication. …”
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Perceptron python code
Published 2025“…<p dir="ltr">Perceptron Python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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SVM python code
Published 2025“…<p dir="ltr">SVM python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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Gaussian Process kernels comparison - Datasets and python code
Published 2024“…Surrogate flood model comparison - Datasets and python code (Version 1). The University of Melbourne. …”
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