Omid Alemi omimo

## 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

## index.html
<html>
    <head>
        <title>
            Movement Data Visualization
        </title>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.0/jquery.min.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

## 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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## index.html
<html>
    <head>
        <title>
            Movement Data Visualization
        </title>
        <!--<script src="https://d3js.org/d3.v4.min.js"></script>-->
        <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.0/jquery.min.js"></script>
        <style>
            * {

## 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://d3js.org/d3.v4.min.js"></script>
        <script src="https://omid.al/Mova-Viz/MovaViz-v0.1.1.js"></script>

        <style>
            * {

## 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
	# 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
	<html>
	<head>
	<title>
	Movement Data Visualization
	</title>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.0/jquery.min.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)