cenkbircanoglu

# -*- coding: utf-8 -*-
import logging
import os
from os.path import abspath, dirname, join
from os import environ

from fabric.api import env, task
from fabric.operations import local
from fabric.operations import sudo
from fabric.utils import puts

cenkbircanoglu

package net.egemsoft.rrd.elasticPaths;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.MapWritable;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.serializer.KryoSerializer;
import org.elasticsearch.hadoop.mr.EsInputFormat;

cenkbircanoglu

create table deps_saved_ddl
(
  deps_id serial primary key, 
  deps_view_schema varchar(255), 
  deps_view_name varchar(255), 
  deps_ddl_to_run text
);

create or replace function deps_save_and_drop_dependencies(p_view_schema varchar, p_view_name varchar) returns void as
$$

cenkbircanoglu

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

cenkbircanoglu

Homebrew build logs for gimp on Mac OS X 10.11.5
Build date: 2016-05-14 10:43:37

cenkbircanoglu

#!/bin/bash

# Source: http://toomuchdata.com/2012/06/25/how-to-install-python-2-7-3-on-centos-6-2/

# Install stuff #
#################

# Install development tools and some misc. necessary packages
yum -y groupinstall "Development tools"
yum -y install wget  # gen'l reqs

cenkbircanoglu

cenkbircanoglu

# -*- coding: utf-8 -*-

""" Convolutional Neural Network for MNIST dataset classification task.

References:
    Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based
    learning applied to document recognition." Proceedings of the IEEE,
    86(11):2278-2324, November 1998.

Links:

cenkbircanoglu

# import config.
# You can change the default config with `make cnf="config_special.env" build`
cnf ?= config.env
include $(cnf)
export $(shell sed 's/=.*//' $(cnf))

# import deploy config
# You can change the default deploy config with `make cnf="deploy_special.env" release`
dpl ?= deploy.env
include $(dpl)

cenkbircanoglu

import torch
import torch.nn.functional as F

from models.unet.net import Net


class CAM(Net):

    def __init__(self, *args, **kwargs):
        super(CAM, self).__init__(*args, **kwargs)