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@aparrish
aparrish / tracery-with-data.ipynb
Last active July 18, 2023 20:00
Tracery and Python. Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@aparrish
aparrish / understanding-word-vectors.ipynb
Last active May 22, 2024 14:36
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@aparrish
aparrish / data-as-documents.ipynb
Last active October 23, 2020 10:32
"Documents as data" notebook. (Python 2.7) Click the "Raw" button to download! Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@aparrish
aparrish / word_counts_with_counter.ipynb
Last active October 23, 2020 10:33
Quick word counts with Counter. Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@aparrish
aparrish / spacy_intro.ipynb
Last active August 9, 2023 01:41
NLP Concepts with spaCy. Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@kingjr
kingjr / plotting_style.py
Last active August 27, 2016 11:20
plotting_style
import numpy as np
import matplotlib.pyplot as plt
from jr.plot import pretty_plot, plot_eb # available @ http://github.com/kingjr/jr-tools
# make up data
x = np.linspace(1., 5., 100)
all_data = dict(AG=np.sin(x), V1=np.cos(x), IPS=np.cos(x + 1.5))
# choose color manually
colors = ['r', [.1, 1., .2, 1.], 'b']
@karpathy
karpathy / min-char-rnn.py
Last active May 22, 2024 08:28
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@mblondel
mblondel / kernel_sgd.py
Last active April 21, 2024 13:41
Kernel SGD
# Mathieu Blondel, May 2012
# License: BSD 3 clause
import numpy as np
def euclidean_distances(X, Y=None, Y_norm_squared=None, squared=False):
XX = np.sum(X * X, axis=1)[:, np.newaxis]
YY = np.sum(Y ** 2, axis=1)[np.newaxis, :]
distances = np.dot(X, Y.T)
distances *= -2