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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-monaco-0.2.1-1.lbn19.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.lbn19.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-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.lbn19.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-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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python3-scikit-sparse-0.3-1.lbn19.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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python3-scikit-video-0.1.2-1.lbn19.noarch
Video Processing SciKitVideo processing algorithms for SciPy,
including IO,
quality metrics, filtering, etc.
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python3-scikit-video-0.1.2-1.lbn25.py37.noarch
Video Processing SciKitVideo processing algorithms for SciPy,
including IO,
quality metrics, filtering, etc.
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