Seanny123’s gists

Seanny123 / fake_sci_dat.csv

Created October 28, 2017 18:39

Fake data for Code Review

Text A	Text B	Text C
Brownie physics fruitcake sesame snaps.	Brownie chocolate cake gingerbread jelly wafer powder toffee.	Icing pastry icing cupcake powder oat cake souffle.
Cheesecake gingerbread pastry chocolate cake pudding tart.	Lemon biology drops macaroon danish marzipan gummi bears sweet roll candy.	Pastry toffee sweet roll.
Wafer donut tootsie roll.	Jelly tart carrot cake icing apple pie halvah.	Icing liquorice gingerbread chem muffin.
Candy canes jelly-o croissant.	Macaroon powder danish.	Icing tootsie roll apple pie

Seanny123 / build_python.sh

Created June 27, 2017 09:19

Python build script

	./configure --enable-optimizations --enable-shared
	make -j4
	make install

Seanny123 / phil_lstm.py

Created May 30, 2017 07:03

Stateful LSTM with variable length inputs

	from keras.models import Sequential
	from keras.layers import LSTM, Dense
	import numpy as np


	def gen_sig(num_samples, seq_len):
	one_indices = np.random.choice(a=num_samples, size=num_samples // 2, replace=False)

	x_val = np.zeros((num_samples, seq_len), dtype=np.bool)
	x_val[one_indices, 0] = 1

Seanny123 / phil_lstm.py

Last active September 19, 2017 09:23

Stateful LSTM example

	from keras.models import Sequential
	from keras.layers import LSTM, Dense
	import numpy as np


	def gen_sig(num_samples, seq_len):
	one_indices = np.random.choice(a=num_samples, size=num_samples // 2, replace=False)

	x_val = np.zeros((num_samples, seq_len), dtype=np.bool)
	x_val[one_indices, 0] = 1

Seanny123 / keras_masked_lstm.py

Last active May 29, 2017 09:39 — forked from slaterb1/keras_masked_lstm.py

	from keras.layers import Input, Masking, LSTM, Dense
	from keras.models import Model
	import numpy as np

	# Case1: model with return_sequences=True (output_shape = (1,10,1) )
	##############################################################
	input1 = Input(batch_shape=(1, 10, 16))
	mask1 = Masking(mask_value=2.)(input1)
	lstm1 = LSTM(16, return_sequences=True)(mask1)
	dense_layer = Dense(1, activation='sigmoid')

Seanny123 / mask_example.py

Last active May 29, 2017 08:49 — forked from ragulpr/py

Keras masking example

	from keras.layers import Masking, Dense
	from keras.layers.recurrent import LSTM
	from keras.models import Sequential

	import numpy as np

	np.set_printoptions(precision=4)
	np.random.seed(1)

Seanny123 / cont_depth_plot.py

Created April 11, 2017 05:38

Fading updating 3D plot

	import numpy as np
	import matplotlib.pyplot as plt
	from mpl_toolkits.mplot3d import proj3d

	def main():
	fig = plt.figure()
	ax = fig.add_subplot(111, projection='3d')

	ax.set_ylim(-100, 100)
	ax.set_xlim(-10, 10)

Seanny123 / animate_line.py

Created February 21, 2017 05:15

Controllable animation in matplotlib

	import numpy as np
	from collections import deque

	import matplotlib.pyplot as plt
	import matplotlib.animation as animation
	from matplotlib.widgets import Button, Slider


	class AnalogPlot:
	def __init__(self, data, display_len):

Seanny123 / animate_line.py

Last active February 28, 2020 01:52

Extremely simple continuously animated line using Python and matplotlib

	import numpy as np
	from collections import deque

	import matplotlib.pyplot as plt
	import matplotlib.animation as animation


	class AnalogPlot:
	def __init__(self, data, display_len):
	self.buff = deque([0.0]*display_len)

Seanny123 / search_mup.py

Last active January 15, 2023 20:17

Go through a bunch of exported MindMup .mup files looking for text

	"""
	Iterates through a directory of exported MindMup .mup files and prints the title of each file that matches the given
	regular expression, as well as the matched node contents.

	MindMup is a mind mapping tool which represents the Directed Acyclic Graph (DAG) of a mind map as a nested dictionary encoded as JSON.
	"""

	import argparse
	import json
	from pathlib import Path

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