Roberto Maestre rmaestre

rmaestre / residual_rnn_cell.py

Created May 15, 2017 09:07 — forked from yohokuno/residual_rnn_cell.py

Residual RNN cell for TensorFlow 0.10

	import tensorflow as tf
	from tensorflow.python.ops.rnn_cell import RNNCell
	from tensorflow.python.ops import variable_scope as vs
	from tensorflow.python.util import nest


	class ResidualRNNCell(RNNCell):
	"""RNN cell composed sequentially of multiple simple cells with residual connection."""

	def __init__(self, cells, state_is_tuple=False):

rmaestre / bisecting.scala

Last active August 29, 2015 14:24 — forked from freeman-lab/bisecting.scala

	/**
	* bisecting <master> <input> <nNodes> <subIterations>
	*
	* divisive hierarchical clustering using bisecting k-means
	* assumes input is a text file, each row is a data point
	* given as numbers separated by spaces
	*
	*/

	import org.apache.spark.SparkContext

rmaestre / spark_parallel_boost.py

Last active August 29, 2015 14:24 — forked from wpm/spark_parallel_boost.py

	from pyspark import SparkContext

	import numpy as np

	from sklearn.cross_validation import train_test_split, Bootstrap
	from sklearn.datasets import make_classification
	from sklearn.metrics import accuracy_score
	from sklearn.tree import DecisionTreeClassifier

	def run(sc):

rmaestre / bisecting.scala

Last active August 29, 2015 14:13 — forked from freeman-lab/bisecting.scala

	/**
	* bisecting <master> <input> <nNodes> <subIterations>
	*
	* divisive hierarchical clustering using bisecting k-means
	* assumes input is a text file, each row is a data point
	* given as numbers separated by spaces
	*
	*/

	import org.apache.spark.SparkContext