Omid Alemi omimo

## arxiv2kindle.ipynb

      
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                omimo
                / arxiv2kindle.ipynb
            
            
              Created
              September 20, 2019 18:11
                — forked from bshillingford/arxiv2kindle.ipynb
            
              
                arxiv2kindle: recompiles an arxiv paper for kindle-sized screens, and sends it to your wifi-enabled kindle
              
          
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## ipimat_to_imgs.m
function [  ] = ipimat_to_imgs( filename, out_folder, prefix, w, h, thres )
%IPIMAT_TO_IMGS Summary of this function goes here
%   Detailed explanation goes here


input = load(filename);

mkdir(out_folder);

for f=1:length(input.DepthFrame)

## .gistup
gistup

## index.html
<html>
    <head>
        <title>
            [Visualizing Movement Data with D3.js]
        </title>
        <script src="https://d3js.org/d3.v4.min.js"></script>
        <script src="https://omid.al/Mova-Viz/MovaViz-v0.1.1.js"></script>

        <style>
            * {

## resample_series.py
# Resample time series
# Omid (Feb 2017)

import pandas as pd
import numpy as np

FILENAME_A = '2015_27_11-12_7_15---improv#1@acc+antonio+right.txt'
FILENAME_B = '2015_27_11-12_7_15---improv#1@acc+bevin+right.txt'
FILENAME_V = '2015_27_11-12_7_15---improv#1@acc+vanessa+right.txt'

## create_hellotensor.py
# Create a simple TF Graph
# By Omid Alemi - Jan 2017
# Works with TF <r1.0

import tensorflow as tf

I = tf.placeholder(tf.float32, shape=[None,3], name='I') # input
W = tf.Variable(tf.zeros_initializer(shape=[3,2]), dtype=tf.float32, name='W') # weights
b = tf.Variable(tf.zeros_initializer(shape=[2]), dtype=tf.float32, name='b') # biases
O = tf.nn.relu(tf.matmul(I, W) + b, name='O') # activation / output

## cmd.tex
%% Circle
% from http://tex.stackexchange.com/questions/7032/good-way-to-make-textcircled-numbers/91070

\newcommand*\circled[1]{\tikz[baseline=(char.base)]{
            \node[shape=circle,draw,inner sep=0.8pt] (char) {#1};}}

## index.html
<html>
    <head>
        <title>
            [Visualizing Movement Data with D3.js]
        </title>
        <script src="https://d3js.org/d3.v4.min.js"></script>
        <script src="https://omid.al/Mova-Viz/MovaViz-v0.1.2.js"></script>
        <style>
            * {
                box-sizing: border-box

## index.html
<html>
    <head>
        <title>
            [Visualizing Movement Data with D3.js]
        </title>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
        <script src="mviz.js"></script>
        <style>
            * {
                box-sizing: border-box

## index.html
<html>
    <head>
        <title>
            [Visualizing Movement Data with D3.js]
        </title>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
        <script src="mviz.js"></script>
        <style>
            * {
                box-sizing: border-box
	function [ ] = ipimat_to_imgs( filename, out_folder, prefix, w, h, thres )
	%IPIMAT_TO_IMGS Summary of this function goes here
	% Detailed explanation goes here


	input = load(filename);

	mkdir(out_folder);

	for f=1:length(input.DepthFrame)
	<html>
	<head>
	<title>
	[Visualizing Movement Data with D3.js]
	</title>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://omid.al/Mova-Viz/MovaViz-v0.1.1.js"></script>

	<style>
	* {
	# Resample time series
	# Omid (Feb 2017)

	import pandas as pd
	import numpy as np

	FILENAME_A = '2015_27_11-12_7_15---improv#1@acc+antonio+right.txt'
	FILENAME_B = '2015_27_11-12_7_15---improv#1@acc+bevin+right.txt'
	FILENAME_V = '2015_27_11-12_7_15---improv#1@acc+vanessa+right.txt'
	# Create a simple TF Graph
	# By Omid Alemi - Jan 2017
	# Works with TF <r1.0

	import tensorflow as tf

	I = tf.placeholder(tf.float32, shape=[None,3], name='I') # input
	W = tf.Variable(tf.zeros_initializer(shape=[3,2]), dtype=tf.float32, name='W') # weights
	b = tf.Variable(tf.zeros_initializer(shape=[2]), dtype=tf.float32, name='b') # biases
	O = tf.nn.relu(tf.matmul(I, W) + b, name='O') # activation / output
	%% Circle
	% from http://tex.stackexchange.com/questions/7032/good-way-to-make-textcircled-numbers/91070

	\newcommand*\circled[1]{\tikz[baseline=(char.base)]{
	\node[shape=circle,draw,inner sep=0.8pt] (char) {#1};}}