Jakub Bartczuk lambdaofgod

## hmm.py
import numpy as np
import pymc
import pdb

def unconditionalProbability(Ptrans):
   """Compute the unconditional probability for the states of a
   Markov chain."""

   m = Ptrans.shape[0]

## spectrogram.html
<!doctype html>
<html>
    <head>
        <meta charset="utf-8" />
        <title>Spectrogram</title>
        <style type="text/css">
            .visualizer {
                display: block;
                background-color: black;
            }

## boto_sns.py
import boto
import boto.exception
import boto.sns
import pprint
import re

def send_push(device_id, body):
    region = [r for r in boto.sns.regions() if r.name==u'eu-west-1'][0]

    sns = boto.sns.SNSConnection(

## ec2-cuda-setup.bash
#!/bin/bash

NVIDIA_DRIVER_VERSION=352.63
NVIDIA_CUDA_VERSION=7.5
NVIDIA_CUDA_FULL_VERSION=7.5.18

sudo yum update -y
sudo yum groupinstall -y "Development tools"
sudo yum install kernel-devel-`uname -r`

## output.js
[
  {
    owner: 'bcoe',
    repo: 'top-npm-users',
    description: ':star: Generate a list of top npm users by based on monthly downloads.',
    language: 'JavaScript',
    isFork: false,
    stargazers: 27,
    watchers: 27
  }

## probabilities vw
from vowpalwabbit import pyvw

def to_vw(clf, text, str_labels):
    vw_example = str('{} |f {} '.format(str_labels, text))
    return clf.example(vw_example)

clf = vw = pyvw.vw(
    loss_function='logistic', oaa=2,
    link='logistic', raw_predictions='output.txt'
)

## spacy_intro.ipynb

      
              1 file
            
          
              42 forks
            
          
              4 comments
            
          
              299 stars
            
          
                aparrish
                / spacy_intro.ipynb
            
            
              Last active
              August 9, 2023 01:41
            
              
                NLP Concepts with spaCy. Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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## Install ffmpeg on AWS Linux AMI
# Taken from https://forums.aws.amazon.com/thread.jspa?messageID=332091

sudo su -

cd /usr/local/bin
mkdir ffmpeg

cd ffmpeg
wget http://ffmpeg.gusari.org/static/64bit/ffmpeg.static.64bit.latest.tar.gz
tar -xzf ffmpeg.static.64bit.latest.tar.gz

## evaluation.ipynb

      
              2 files
            
          
              10 forks
            
          
              11 comments
            
          
              62 stars
            
          
                jbochi
                / evaluation.ipynb
            
            
              Last active
              June 13, 2024 02:54
            
              
                Recommending GitHub repositories with Google Big Query and implicit library: https://medium.com/@jbochi/recommending-github-repositories-with-google-bigquery-and-the-implicit-library-e6cce666c77
              
          
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## markdown_to_text.py
from bs4 import BeautifulSoup
from markdown import markdown
import re

def markdown_to_text(markdown_string):
    """ Converts a markdown string to plaintext """

    # md -> html -> text since BeautifulSoup can extract text cleanly
    html = markdown(markdown_string)
	import numpy as np
	import pymc
	import pdb

	def unconditionalProbability(Ptrans):
	"""Compute the unconditional probability for the states of a
	Markov chain."""

	m = Ptrans.shape[0]
	<!doctype html>
	<html>
	<head>
	<meta charset="utf-8" />
	<title>Spectrogram</title>
	<style type="text/css">
	.visualizer {
	display: block;
	background-color: black;
	}
	import boto
	import boto.exception
	import boto.sns
	import pprint
	import re

	def send_push(device_id, body):
	region = [r for r in boto.sns.regions() if r.name==u'eu-west-1'][0]

	sns = boto.sns.SNSConnection(
	#!/bin/bash

	NVIDIA_DRIVER_VERSION=352.63
	NVIDIA_CUDA_VERSION=7.5
	NVIDIA_CUDA_FULL_VERSION=7.5.18

	sudo yum update -y
	sudo yum groupinstall -y "Development tools"
	sudo yum install kernel-devel-`uname -r`
	[
	{
	owner: 'bcoe',
	repo: 'top-npm-users',
	description: ':star: Generate a list of top npm users by based on monthly downloads.',
	language: 'JavaScript',
	isFork: false,
	stargazers: 27,
	watchers: 27
	}
	from vowpalwabbit import pyvw

	def to_vw(clf, text, str_labels):
	vw_example = str('{} \|f {} '.format(str_labels, text))
	return clf.example(vw_example)

	clf = vw = pyvw.vw(
	loss_function='logistic', oaa=2,
	link='logistic', raw_predictions='output.txt'
	)
	# Taken from https://forums.aws.amazon.com/thread.jspa?messageID=332091

	sudo su -

	cd /usr/local/bin
	mkdir ffmpeg

	cd ffmpeg
	wget http://ffmpeg.gusari.org/static/64bit/ffmpeg.static.64bit.latest.tar.gz
	tar -xzf ffmpeg.static.64bit.latest.tar.gz
	from bs4 import BeautifulSoup
	from markdown import markdown
	import re

	def markdown_to_text(markdown_string):
	""" Converts a markdown string to plaintext """

	# md -> html -> text since BeautifulSoup can extract text cleanly
	html = markdown(markdown_string)