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"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

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#!/usr/bin/env python

''' Dumps the location ids in a sorted set '''

import redis
import sys


def dump(key, redis_host, redis_port=6379):
    rconn = redis.StrictRedis(redis_host, port=redis_port)

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coderfi

#!/usr/bin/env python

''' Pretty prints an xml file.

Usage:

    python prettyxml.py [filename.xml]
    or
    cat filename.xml | python prettyxml.py
    

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#! /usr/bin/env bash

#sudo apt-get install --yes autoconf

WORKING_DIR=`pwd`
LIBLBFGS_GIT=https://github.com/chokkan/liblbfgs.git
LIBLBFGS_SRC_DIR=./liblbfgs/
LIBLBFGS_INSTALL_DIR=$WORKING_DIR/local/lbfgs/
CRFSUITE_GIT=https://github.com/chokkan/crfsuite.git
CRFSUITE_SRC_DIR=./crfsuite/

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-- takes the leftmost 16 hex-characters of the md5 hash of foo, converts it to base-10, and casts it to a 64-bit number
-- Note: this decreases the possible space of hashes!
SELECT CAST(conv(substring(md5("foo"), 0, 16), 16, 10) AS BIGINT)");

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https://databricks.com/session/locality-sensitive-hashing-by-spark
https://databricks.com/blog/2017/05/09/detecting-abuse-scale-locality-sensitive-hashing-uber-engineering.html
https://github.com/apache/spark/blob/v2.3.0/examples/src/main/python/ml/min_hash_lsh_example.py

pip install -u pyspark
git clone https://github.com/apache/spark
cd spark
git checkout v2.3.0
spark-submit --master='local[*]' --driver-memory=4g examples/src/main/python/ml/min_hash_lsh_example.py 

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#!/usr/bin/env python

''' MultiLabel classifier example using Keras + Tensorflow.

Based on

* https://www.depends-on-the-definition.com/guide-to-multi-label-classification-with-neural-networks/
* https://www.depends-on-the-definition.com/classifying-genres-of-movies-by-looking-at-the-poster-a-neural-approach/
* https://keras.io/getting-started/sequential-model-guide/#examples
'''

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#! /usr/bin/env bash

# Insert a USB key.
# if needed initialize it with MS/DOS FAT and MBR

# Download the Mint ISO image
# Convert the ISO -> IMG
hdiutil convert -format UDRW -o  linuxmint-17.3-cinnamon-64bit  linuxmint-17.3-cinnamon-64bit.iso

# Run a diskutil list to know the device for the USB key, e.g.: /dev/disk3

coderfi

#remove old
sudo apt-get remove docker docker-engine docker.io

sudo apt-get update

sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
    
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable"