jbencina

AashishTiwari

tandon-aman

WWEI1

Ralnoc

"""
helloevolve.py implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.
The parameters of the simulation can be changed by modifying one of the many
global variables. To change the "most fit" string, modify OPTIMAL. POP_SIZE
controls the size of each generation, and GENERATIONS is the amount of
generations that the simulation will loop through before returning the fittest
string.

quizzicol

msuchodolski

/**
 *   MAKE ELECTRON APP FEEL MORE NATIVE
 *
 *   * Prevent dragging all HTML elements, specially:
 *   	- images
 *   	- links (anchors)
 *
 *   * Prevent text selection
 */

tomysmile

type below:

brew update
brew install redis

To have launchd start redis now and restart at login:

brew services start redis

sshleifer

Mac

1. Spectacle

2. Rescuetime

3. Self Control

4. iTerm2

5. Fluid made standalone Gmail, Trello apps for cmd-tab

6. iStat

7. Alfred

nzw0301

*2vec papers

1. act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
2. apk2vec https://arxiv.org/abs/1809.05693
3. app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
4. ast2vec https://arxiv.org/abs/2103.11614
5. attribute2vec https://arxiv.org/abs/2004.01375
6. author2vec http://dl.acm.org/citation.cfm?id=2889382
7. baller2vec https://arxiv.org/abs/2102.03291
8. bb2vec https://arxiv.org/abs/1809.09621