wentropy

wentropy / yamlDemo.ipynb

Created October 16, 2021 16:58 — forked from tonyfast/yamlDemo.ipynb

Demonstration of YAML parsers in the Jupyter Notebook http://nbviewer.ipython.org/gist/tonyfast/e4bf0b6d77225faf1b04

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wentropy / timeseries_cnn.py

Created December 4, 2018 21:34 — forked from jkleint/timeseries_cnn.py

Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.

	#!/usr/bin/env python
	"""
	Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
	"""

	from __future__ import print_function, division

	import numpy as np
	from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
	from keras.models import Sequential

wentropy / live_loss_plot_keras.ipynb

Created December 4, 2018 20:27 — forked from stared/live_loss_plot_keras.ipynb

Live loss plot for training models in Keras (see: https://github.com/stared/livelossplot/ for a library)

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wentropy / FlatCnnLayer.py

Created November 26, 2018 12:04 — forked from paduvi/FlatCnnLayer.py

Hierarchical Softmax CNN Classification

	import torch
	import torch.nn as nn
	import torch.nn.init as init

	dropout_prob = 0.5


	class FlatCnnLayer(nn.Module):
	def __init__(self, embedding_size, sequence_length, filter_sizes=[3, 4, 5], out_channels=128):
	super(FlatCnnLayer, self).__init__()

wentropy / akmtdfgen.py

Created December 20, 2017 23:42 — forked from timehaven/akmtdfgen.py

kmtdfgen: Keras multithreaded dataframe generator

	"""akmtdfgen: A Keras multithreaded dataframe generator.

	Works with Python 2.7 and Keras 2.x.

	For Python 3.x, need to fiddle with the threadsafe generator code.


	Test the generator_from_df() functions by running this file:

	python akmtdfgen.py