DMTSource

# Derek M. Tishler
# nx plot example deap individual
# For post: https://groups.google.com/g/deap-users/c/nZFZpm5OPZA

import matplotlib.pyplot as plt
import networkx as nx
from networkx.drawing.nx_agraph import graphviz_layout

## May need is resuming session
#from deap import creator

georgeblck

###
### This is a batched LSTM forward and backward pass. Written by Andrej Karpathy (@karpathy)
### BSD License
### Re-written in R by @georgeblck
###

rm(list=ls(all=TRUE))

LSTM.init <- function(input_size, hidden_size, fancy_forget_bias_init = 3){
  # Initialize parameters of the LSTM (both weights and biases in one matrix) 

philipperemy

from __future__ import print_function

import numpy as np
from keras.callbacks import Callback
from keras.layers import Dense
from keras.layers import LSTM
from keras.models import Sequential
from numpy.random import choice

from utils import prepare_sequences

Kaixhin

--[[
--   Element-Research Torch RNN Tutorial for recurrent neural nets : let's predict time series with a laptop GPU
--   https://christopher5106.github.io/deep/learning/2016/07/14/element-research-torch-rnn-tutorial.html
--]]

--[[
--   Part 1
--]]

require 'rnn'

alexey-milovidov

:) CREATE TABLE test.nested (EventDate Date, UserID UInt64, Attrs Nested(Key String, Value String)) ENGINE = MergeTree(EventDate, UserID, 8192)

CREATE TABLE test.nested
(
    EventDate Date, 
    UserID UInt64, 
    Attrs Nested(
    Key String, 
    Value String)
) ENGINE = MergeTree(EventDate, UserID, 8192)

granturing

<!-- place this in an %angular paragraph -->

<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.5/leaflet.css" />
<div id="map" style="height: 800px; width: 100%"></div>

<script type="text/javascript">
function initMap() {
    var map = L.map('map').setView([30.00, -30.00], 3);

    L.tileLayer('http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {

ScottEvil

Installing GeoMesa on GeoServer
 - Downloaded geoserver 2.5.2 war wget http://downloads.sourceforge.net/project/geoserver/GeoServer/2.5.2/geoserver-2.5.2-war.zip
 - and the corresponding WPS plugin wget http://downloads.sourceforge.net/project/geoserver/GeoServer/2.5.2/extensions/geoserver-2.5.2-wps-plugin.zip
 - Deployed war file to Tomcat_HOME/webapps folder and then copied WPS plugin jars over to WEB-INF/lib and checked to ensure permissions were good
 - Download Accumulo 1.5.3 :: wget http://apache.go-parts.com/accumulo/1.5.3/accumulo-1.5.3-bin.tar.gz
 - Download Scala 2.10 :: wget http://downloads.typesafe.com/scala/2.10.5/scala-2.10.5.tgz
 - Download Kafka 2.10-0.8.2.1 (Kafka 0.8 install that corresponds to scala 2.10) http://ftp.wayne.edu/apache/kafka/0.8.2.1/kafka_2.10-0.8.2.1.tgz
 - Download Hadoop wget http://apache.mirrors.tds.net/hadoop/common/hadoop-2.6.0/hadoop-2.6.0.tar.gz
 
 Unzip each of the downloads

karpathy

--[[ 
Efficient LSTM in Torch using nngraph library. This code was optimized 
by Justin Johnson (@jcjohnson) based on the trick of batching up the 
LSTM GEMMs, as also seen in my efficient Python LSTM gist.
--]]

function LSTM.fast_lstm(input_size, rnn_size)
  local x = nn.Identity()()
  local prev_c = nn.Identity()()
  local prev_h = nn.Identity()()

nagadomi

-- sudo luarocks install csvigo
-- でインストールしておく
require 'csvigo'

--[[ test.csv
a,b,c,d   
1,2,3,4
5,5,3,3
--]]

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)