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python3-scikit-fmm-0.0.9-1.lbn25.x86_64
scikitfmm is a Python extension module which implements the fast
marching
method. Signed distance functions Travel time transforms
(solutions to the
Eikonal equation) Extension
velocitieshttps://github.com/scikitfmm/scikitfmm
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python3-scikit-fuzzy-0.2-1.lbn25.noarch
scikitfuzzy (a.k.a. skfuzzy): Fuzzy logic toolbox for Python.This
package
implements many useful tools for projects involving fuzzy
logic, also known as
grey logic.
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python3-scikit-gpuppy-0.9.3-1.lbn25.x86_64
https://github.com/snphbaum/scikitgpuppyThis package provides means
for
modeling functions and simulations using Gaussian processes (aka
Kriging,
Gaussian random fields, Gaussian random functions).
Additionally, uncertainty
can be propagated through the Gaussian
processes... note:: The Gaussian
process regression and
uncertainty propagation are based on Girard's thesis
[]_. ...
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python3-scikit-image-0.12.3-4.fc25.x86_64
The scikit-image SciKit (toolkit for SciPy) extends scipy.ndimage to provide a
versatile set of image processing routines.
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python3-scikit-kinematics-0.3.8-1.lbn25.py37.noarch
scikitkinematics *scikitkinematics* primarily contains functions for
working
with 3D kinematics, e.g quaternions and rotation matrices.
This includes
utilities to read in data from the following IMUsensors:
XSens xio
YEICompatible with Python 2 and 3.Dependencies
numpy, scipy, matplotlib,
pandas, sympy,
easyguiHomepagehttp://work.thaslwanter.at/skinematics/html/Author:
Thomas ...
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python3-scikit-learn-0.21.3-1.lbn25.x86_64
Scikit-learn integrates machine learning algorithms in the tightly-knit
scientific Python world, building upon numpy, scipy, and matplotlib.
As a machine-learning module, it provides versatile tools for data mining
and analysis in any field of science and engineering. It strives to be
simple and efficient, accessible to everybody, and reusable
in various contexts.
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python3-scikit-monaco-0.2.1-1.lbn25.x86_64
scikitmonaco scikitmonaco is a library for Monte Carlo integration in
python.
The core is written in Cython, with processlevel parallelism
to squeeze the
last bits of speed out of the python interpreter.A code
snippet is worth a
thousand words. Let's look at integrating
sqrt(x**2 + y**2 + z**2) in the unit
square:.. code:: python >>>
from skmonaco import mcquad >>> from math
import sqrt ...
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python3-scikit-nano-0.3.21-1.lbn25.noarch
scikitnano *scikitnano* is a python toolkit for generating and
analyzing
nanostructure data.*scikitnano* can generate structure data
(i.e., atomic
coordinates) for the following classes of
nanostructures: * Fullerenes *
Graphene * *N*layer
graphene * Bilayer graphene with more fine
control over
relative layer orientation, including relative rotation
...
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python3-scikit-neuralnetwork-0.7-1.lbn25.py37.noarch
:orphan:
scikit-neuralnetwork
====================
Deep neural network
implementation without the learning cliff! This library implements multi-layer
perceptrons as a wrapper for the powerful ``Lasagne`` library that's compatible
with ``scikit-learn`` for a more user-friendly and Pythonic interface.
**NOTE**: This project is possible thanks to the `nucl.ai Conference
<http://nucl.ai/>`_ on ...
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python3-scikit-sparse-0.4.2-1.lbn25.x86_64
Sparse matrix tools.This is a home for sparse matrix code in Python
that plays
well with scipy.sparse, but that is somehow unsuitable for
inclusion in scipy
proper. Usually this will be because it is released
under the GPL.So far we
have a wrapper for the CHOLMOD library for
sparse Cholesky decomposition.
Further contributions are welcome!
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