Tachyon5’s gists

Tachyon5 / LSTMService.java

Created February 9, 2018 14:47

EMA example: it's only called LSTM for the moment

	package ch.algotrader.strategy;

	import java.math.BigDecimal;

	import org.springframework.stereotype.Component;
	import org.apache.log4j.LogManager;
	import org.joda.time.DateTime;
	import org.joda.time.Period;

	import ch.algotrader.entity.marketData.BarVO;

Tachyon5 / DBNMnistFullExample.java

Last active February 24, 2016 18:05

Can you explain the .hiddenUnit and .visibleUnit attributes?

	package org.deeplearning4j.examples.deepbelief;

	import org.deeplearning4j.datasets.iterator.DataSetIterator;
	import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
	import org.deeplearning4j.eval.Evaluation;
	import org.deeplearning4j.nn.api.OptimizationAlgorithm;
	import org.deeplearning4j.nn.conf.GradientNormalization;
	import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
	import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
	import org.deeplearning4j.nn.conf.layers.OutputLayer;

Tachyon5 / mnnlConfig

Created February 24, 2016 18:02

Explanation of Hidden and Visible in a layer.

	MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()
	.seed(seed)
	.gradientNormalization(GradientNormalization.ClipElementWiseAbsoluteValue)
	.gradientNormalizationThreshold(1.0)
	.iterations(iterations)
	.momentum(0.5)
	.momentumAfter(Collections.singletonMap(3, 0.9))
	.optimizationAlgo(OptimizationAlgorithm.CONJUGATE_GRADIENT)
	.list(4)
	.layer(0, new RBM.Builder().nIn(numRows*numColumns).nOut(500)

Tachyon5 / StackedAutoEncoderMnistExample.javaStackedAutoEncoderMnistExample.java

Created February 18, 2016 19:42

I want to add a HistogramIterationListener to the following but can't seem to get the UI running.

	package org.deeplearning4j.examples.autoencoder;

	import org.deeplearning4j.datasets.iterator.DataSetIterator;
	import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
	import org.deeplearning4j.eval.Evaluation;
	import org.deeplearning4j.nn.api.OptimizationAlgorithm;
	import org.deeplearning4j.nn.conf.GradientNormalization;
	import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
	import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
	import org.deeplearning4j.nn.conf.layers.AutoEncoder;

Tachyon5 / generative.py

Last active August 29, 2015 14:24 — forked from jakevdp/generative.py

	"""
	Bayesian Generative Classifier
	------------------------------
	"""
	# Author: Jake Vanderplas <[email protected]>

	import numpy as np
	from sklearn.neighbors.kde import KernelDensity
	from sklearn.mixture import GMM
	from sklearn.base import BaseEstimator, clone

Tachyon5 / sklearn-lr-spark.py

Created July 10, 2014 19:19 — forked from MLnick/sklearn-lr-spark.py

	import sys

	from pyspark.context import SparkContext
	from numpy import array, random as np_random
	from sklearn import linear_model as lm
	from sklearn.base import copy

	N = 10000 # Number of data points
	D = 10 # Numer of dimensions
	ITERATIONS = 5

Frank Taylor Tachyon5