ganesh-srinivas

Learning Embeddings for Laughter Categorization

https://github.com/ganesh-srinivas/laughter/

UPDATE: This project was deemed successful, and I received a very positive evaluation from my mentors! :-) (you can view it at http://ganesh-srinivas.github.io/gsoc_final_evaluation.pdf)

The main deliverables from this project are machine learning classifiers that can perform laughter detection and categorization: identify if an audio clip contains laughter or not, and categorize the laughter (giggle, baby laugh, chuckle/chortle, snicker, belly laugh).

Model Architecture	Input Feature	Output pooling	Test set metrics

stolinski

[
    { "key": "ctrl+1", "command": "workbench.action.focusFirstEditorGroup" },
    { "key": "ctrl+2", "command": "workbench.action.focusSecondEditorGroup" },
    { "key": "ctrl+3", "command": "workbench.action.focusThirdEditorGroup" },
    { "key": "cmd+1", "command": "workbench.action.openEditorAtIndex1" },
    { "key": "cmd+2", "command": "workbench.action.openEditorAtIndex2" },
    { "key": "cmd+3", "command": "workbench.action.openEditorAtIndex3" },
    { "key": "cmd+4", "command": "workbench.action.openEditorAtIndex4" },
    { "key": "cmd+5", "command": "workbench.action.openEditorAtIndex5" },
    { "key": "cmd+6", "command": "workbench.action.openEditorAtIndex6" },

shagunsodhani

Learning to Generate Reviews and Discovering Sentiment

Summary

The authors train a character-RNN (using mLSTM units) over Amazon Product Reviews (82 million reviews) and use the char-RNN as the feature extractor for sentiment analysis. These unsupervised features beat state of the art results for the dataset while are outperformed by supervised approaches on other datasets. Most important observation is that the authors find a single neuron (called as the sentiment neuron) which alone achieves a test accuracy of 92.3% thus giving the impression that the sentiment concept has been captured in that single neuron. Switching this neuron on (or off) during the generative process produces positive (or negative) reviews.

Notes

• The paper aims to evaluate if the low level features captured by char-RNN can support learning of high-level representations.

ljharb

Array Iteration

https://gist.github.com/ljharb/58faf1cfcb4e6808f74aae4ef7944cff

While attempting to explain JavaScript's reduce method on arrays, conceptually, I came up with the following - hopefully it's helpful; happy to tweak it if anyone has suggestions.

Intro

JavaScript Arrays have lots of built in methods on their prototype. Some of them mutate - ie, they change the underlying array in-place. Luckily, most of them do not - they instead return an entirely distinct array. Since arrays are conceptually a contiguous list of items, it helps code clarity and maintainability a lot to be able to operate on them in a "functional" way. (I'll also insist on referring to an array as a "list" - although in some languages, List is a native data type, in JS and this post, I'm referring to the concept. Everywhere I use the word "list" you can assume I'm talking about a JS Array) This means, to perform a single operation on the list as a whole ("atomically"), and to return a new list - thus making it mu

avafloww

/*<?php
//*/public class PhpJava { public static void main(String[] args) { System.out.printf("/*%s",
//\u000A\u002F\u002A
class PhpJava {
    static function main() {
        echo(//\u000A\u002A\u002F
        "Hello World!");
}}
//\u000A\u002F\u002A
PhpJava::main();

NickCraver

private static readonly string[] tenHoursOfFun =
{
    "https://www.youtube.com/watch?v=wbby9coDRCk",
    "https://www.youtube.com/watch?v=nb2evY0kmpQ",
    "https://www.youtube.com/watch?v=eh7lp9umG2I",
    "https://www.youtube.com/watch?v=z9Uz1icjwrM",
    "https://www.youtube.com/watch?v=Sagg08DrO5U",
    "https://www.youtube.com/watch?v=5XmjJvJTyx0",
    "https://www.youtube.com/watch?v=IkdmOVejUlI",
    "https://www.youtube.com/watch?v=jScuYd3_xdQ",

tswaters

Stubbing Classes and their Constructors in Native ES6

It's getting to that point. All the major evergreen browsers have (mostly) functional class keyword. But what does this mean for unit tests and the ability to stub constructors? In short, the answer is 'no'.

Many will tell you that es6 classes are just sugar coated es5 functions with prototypal inheritance setup. Mostly true - but there are two considerations that make testing more difficult:

• super is a magical keyword that calls the same method on the parent class. in cases with methods, easy enough to stub those, sinon.stub(parent.prototype, 'whatever') -- for super itself, there is no way to stub out the constructor call... normally not a huge deal, but...

• classes are not added to the global scope. where once you could call sinon.stub(global, 'SomeFunction'), sinon.stub(global, 'SomeClass') (or under window in the browser), this will throw an error.

rauchg

require-from-twitter

Since Twitter doesn't have an edit button, it's a suitable host for JavaScript modules.

How to use

Source tweet: https://twitter.com/rauchg/status/712799807073419264

const leftPad = await requireFromTwitter('712799807073419264');

wesbos

{
  "keys": ["tab"], 
  "command": "expand_abbreviation_by_tab", 

  // put comma-separated syntax selectors for which 
  // you want to expandEmmet abbreviations into "operand" key 
  // instead of SCOPE_SELECTOR.
  // Examples: source.js, text.html - source
  "context": [
    {

elcamino

#!/usr/bin/env ruby

require 'selenium-webdriver'

wd = Selenium::WebDriver.for :remote, url: 'http://10.3.1.7:4444/wd/hub', desired_capabilities: :chrome
wd.navigate.to 'https://snipt.net/restrada/python-selenium-workaround-for-full-page-screenshot-using-chromedriver-2x/'

# Get the actual page dimensions using javascript
#
width  = wd.execute_script("return Math.max(document.body.scrollWidth, document.body.offsetWidth, document.documentElement.clientWidth, document.documentElement.scrollWidth, document.documentElement.offsetWidth);")