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| wget --no-check-certificate --content-disposition https://github.com/joyent/node/tarball/v0.7.1 | |
| # --no-check-cerftificate was necessary for me to have wget not puke about https | |
| curl -LJO https://github.com/joyent/node/tarball/v0.7.1 |
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| """ | |
| MIT License | |
| Copyright (c) 2017 Cyrille Rossant | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is |
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| # By Jake VanderPlas | |
| # License: BSD-style | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def discrete_cmap(N, base_cmap=None): | |
| """Create an N-bin discrete colormap from the specified input map""" |
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| import torch | |
| import numpy | |
| np = numpy | |
| from geomloss import SamplesLoss # See also ImagesLoss, VolumesLoss | |
| # preferences, need to be converted to costs | |
| # row i = cost of moving each item from c to place i | |
| # making cost non-negative will not changes solution matrix P | |
| preference = numpy.asarray([[2, 2, 1 , 0 ,0], |
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| #!/usr/bin/env python | |
| import math | |
| import matplotlib.pyplot as plt | |
| import torch | |
| import torch.nn as nn | |
| from sklearn.datasets import make_moons | |
| from torch import Tensor | |
| from tqdm import tqdm |
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