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Solving Hard Problems with Machine Learning

Suriyadeepan Ramamoorthy suriyadeepan

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Solving Hard Problems with Machine Learning
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suriyadeepan / wscluster.json
Created September 28, 2017 10:44
Weather Station Data - days, hours v. temperature, humidity
{"0": {"0": {"humidity": 0.0, "temperature": 0.0}, "1": {"humidity": 0.0, "temperature": 0.0}, "2": {"humidity": 0.0, "temperature": 0.0}, "3": {"humidity": 0.0, "temperature": 0.0}, "4": {"humidity": 0.0, "temperature": 0.0}, "5": {"humidity": 0.0, "temperature": 0.0}, "6": {"humidity": 0.0, "temperature": 0.0}, "7": {"humidity": 0.0, "temperature": 0.0}, "8": {"humidity": 30.216216216216218, "temperature": 35.0}, "9": {"humidity": 30.166666666666668, "temperature": 35.0}, "10": {"humidity": 31.0, "temperature": 34.54545454545455}, "11": {"humidity": 32.54545454545455, "temperature": 32.90909090909091}, "12": {"humidity": 38.54545454545455, "temperature": 31.454545454545453}, "13": {"humidity": 43.5, "temperature": 31.0}, "14": {"humidity": 41.45454545454545, "temperature": 31.0}, "15": {"humidity": 38.36363636363637, "temperature": 31.0}, "16": {"humidity": 38.583333333333336, "temperature": 31.0}, "17": {"humidity": 40.63636363636363, "temperature": 31.0}, "18": {"humidity": 37.45454545454545, "temperature
@suriyadeepan
suriyadeepan / wsdata.csv
Last active September 13, 2017 15:18
Cleaned up Community Weather Station data
temperature windspeed pressure direction humidity timestamp
30.00 0.00 917.01 234.69SW 38.00 2016-09-30T13:51:22.573Z
30.00 -0.00 917.14 234.69SW 38.00 2016-09-30T13:46:21.203Z
30.00 -0.00 916.59 234.69SW 35.00 2016-09-30T13:04:42.901Z
30.00 2.85 915.65 277.12WN 35.00 2016-09-30T12:23:08.626Z
30.00 0.00 914.87 275.07WN 39.00 2016-09-30T11:51:54.471Z
31.00 22.57 913.68 275.07WN 39.00 2016-09-30T11:46:35.589Z
31.00 23.21 913.49 230.86SW 38.00 2016-09-30T11:41:16.630Z
31.00 13.74 912.75 230.86SW 38.00 2016-09-30T11:35:57.636Z
31.00 32.92 912.03 249.03SW 39.00 2016-09-30T11:30:36.698Z
@suriyadeepan
suriyadeepan / NeuralRC.md
Created August 17, 2017 11:55
Neural Reading Comprehension notes

class: middle, center, blackslide

Machine Reading Comprehension

Suriyadeepan Ramamoorthy

Agenda

@suriyadeepan
suriyadeepan / pdf2ims.py
Last active July 28, 2017 07:10
Scrape from tamilvu.org
'''
Extract images from pdf.
- requires imagemagick and wand
sudo apt install imagemagick
sudo pip3 install --upgrade Wand
'''
from wand.image import Image
@suriyadeepan
suriyadeepan / tf_rnn_experiments.ipynb
Created May 17, 2017 03:16
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@suriyadeepan
suriyadeepan / minimal_php.php
Created April 20, 2017 07:51
Basics of PHP
########
# ARRAYS
<?php
$marr = array('helga', 'rollo', 'ivar');
$i = 0;
while($i < 3){
$j = 0;
while($j < $i){
echo "\t";
$j++;
@suriyadeepan
suriyadeepan / transform.ipynb
Last active February 13, 2017 15:42
Tensor Transformations
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@suriyadeepan
suriyadeepan / senti_model_0_5.py
Created January 19, 2017 15:55
piece of model for sentiment classification
# params
seqlen = metadata['max_words']
state_size = 128
vocab_size = len(metadata['idx2w'])
batch_size = 128
num_classes = 2
tf.reset_default_graph()
@suriyadeepan
suriyadeepan / circle-packing.html
Created January 10, 2017 08:11
Circle Packing - All Work and no Play makes Jack a Dull BOY
<script src="//cdnjs.cloudflare.com/ajax/libs/p5.js/0.5.6/p5.js"></script>
<script src="sketch.js"></script>
<script src="circle.js"></script>
@suriyadeepan
suriyadeepan / classify_max_num.py
Created January 8, 2017 15:20
import tensorflow as tf
import numpy as np
'''
Classification
X - [ 0.2, 0.1, 0.6 ]
Y - 2 (argmax X)
'''