View 反応応答理論の実装.ipynb
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View scikit-learn の gridsearch の問題.ipynb
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View logging_recording.ipynb
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View lifegame.vue
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<template> | |
<v-container> | |
<v-layout align-center> | |
<v-btn | |
:disabled="!!taskId" | |
depressed | |
class="ma-0" | |
@click="onClickPlay"> | |
<v-icon>play_arrow</v-icon> | |
</v-btn> |
View main-component.vue
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<template> | |
<div class="pa-4"> | |
<v-chip | |
v-for="item in sortedItems" | |
:class="itemClass(item)" | |
:key="item.value" | |
@click="onClickItem(item)"> | |
{{ item.text }} | |
</v-chip> |
View bias_variance.py
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import numpy as np | |
import matplotlib.pyplot as plt | |
def gaussian_kernel(x, basis=None): | |
if basis is None: | |
basis = np.linspace(-1.2, 1.2, 101) | |
# parameter is my choice >_< | |
phi = np.exp(- (x.reshape(-1, 1) - basis) ** 2 * 250) |
View Gpy_vs_sklearn.ipynb
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View nikkei.ipynb
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View highschoollike_plot.py
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import matplotlib.pyplot as plt | |
import numpy as np | |
import seaborn as sns | |
def decorate_arrows(plotting): | |
def inner(x, y,figsize=(6,4), delete_labels=True, fontdict='default',xlim='default',ylim='default'): | |
fig, ax = plotting(x, y, figsize) | |
incs = fig.get_size_inches() | |
incs = np.array(incs) |
View dcgan_mnist.py
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# coding: utf-8 | |
# In[3]: | |
from chainer import Chain | |
from chainer import Variable,optimizers | |
import chainer.functions as F | |
import chainer.links as L |
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