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Python-Like Numerical Computation Library MatX Brings Transforms as Operators and Other Features
Developed by Nvidia for its own GPUs, MatX is a C++ library that aims to bring near-native performance in numerical computing using a high-level syntax not far from those available in Python scipy or MATLAB. Its latest release brings a number of new features, including the possibility to use transforms as operators, new operators such as upsample, downsample, pwelch, and more.
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SciPy Goes 1.0, Gets New Governance Structure
Sixteen years after it was born, SciPy, the leading Python library for scientific and technical computing, reaches version 1.0, which marks the achievement of both technical and organizational goals.
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AFK-MC² Algorithm Speeds up k-Means Clustering Algorithm Seeding
“Fast and Probably Good Seedings for k-Means” by Olivier Bachem et al. was presented on 2016’s Neural Information Processing Systems (NIPS) conference and describes AFK-MC2, an alternative method to generate initial seedings for k-Means clustering algorithm that is several orders of magnitude faster than the state of art method k-Means++.
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NumPy and SciPy for .NET
As part of the Python Tools for Visual Studio project the well-known NumPy and SciPy libraries were ported to .NET. The port, which combines C# and C interfaces over a native C core, was done in such a way that all .NET languages can take advantage of it.