et al. SciPy 1.0: Fundamental algorithms for scientific computing in Python. Nat. Methods 17(3), 261–272. https://doi.org/10.1038/s41592-019-0686-2 (2020). Article PubMed Central CAS Google Scholar Harris, C. R. et al. Array programming with NumPy. Nature 585(7825), 357–362. ...
Cocos is a package for numeric and scientific computing on GPUs for Python with a NumPy-like API. It supports both CUDA and OpenCL on Windows, Mac OS, and Linux. Internally, it relies on the ArrayFire C/C++ library. Cocos offers a multi-GPU map-reduce framework. In addition to its ...
et al. Fundamental algorithms for scientific computing in python. Nature Methods 17, 261–272. https://doi.org/10.1038/s41592-019-0686-2 (2020). Article CAS Google Scholar Ogata, H. & Taniguchi, M. Cressie-read power-divergence statistics for non-gaussian vector stationary processes. Scand...
Because CNNs were originally created for image recognition, they are better suited to handling image-like data and may not be directly applicable to scientific computing problems, as most geometries are irregular with non-uniform grids; for example, Euclidean-distance-based convolution filters lose th...
Current version of PaddleScience is v1.0 Beta. Introduction PaddleScience extends the PaddlePaddle framework with reusable software components for developing novel scientific computing applications. Such new applications include Physics-informed Machine Learning, neural network based PDE solvers, machine learning...
Extraneous features degrade the performance of a model while also increase computing costs. It is critical to find a subgroup of high-prevalence features. Some of the features have a considerable impact on the response model than others. We ranked the importance of features or predictors using\(...
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Trust Evaluation Factors in Cloud Computing with Open Stack Shakti Arora and Surjeet DalalJ. Comput. Theor. Nanosci. 16, 5073–5077 (2019)[Abstract] [Full Text - PDF] [Purchase Article] A Survey on Deep Learning Techniques for Prognosis and Diagnosis of Cancer from Microarray Gene Expression...
Python is a general-purpose computation language, but it is very welcomed in scientific computing. It can replace R and Matlab in many cases, thanks to some libraries in the Python ecosystem. In machine learning, we use some mathematical or statistical functions extensively, and often, we will...
dataflow using a provenanceapplication programming interface (API) [32]. This approach is intrusive because the workflowmust be engineered to use the API. IncPy [33] is a non-intrusive and low level approach whichreplaces the standard Python interpreter with one designed to catch automatically th...