These are all the JSConf 2014 slides, codes, and notes I was able to cull together from twitter. Thanks to the speakers who posted them and thanks to @chantastic for posting his wonderful notes.
A card stack UI with swipeable cards.
Forked from Ionic's Pen Swipeable Cards 1.0.0-beta.6.
Forked from elia bruni's Pen Swipeable Cards 1.0.0-beta.6.
A Pen by Captain Anonymous on CodePen.
require 'rubygems' | |
require 'twilio-ruby' | |
require 'net/http' | |
require 'uri' | |
require 'json' | |
class TwilioController < ApplicationController | |
TWILIO_ACCOUNT_SID = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' | |
TWILIO_ACCOUNT_TOKEN = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' | |
SENDER_NUMBER = '+xxxxxxxxxx' |
/* Examples: | |
Use grep with two arguments to find inherited or direct properties of an object: | |
> grep(document, 'get') // see all properties case insensitively matching *get*: | |
{ getCSSCanvasContext: function getCSSCanvasContext() { [native code] } | |
, getElementById: function getElementById() { [native code] } | |
, getElementsByClassName: function getElementsByClassName() { [native code] } | |
, getElementsByName: function getElementsByName() { [native code] } | |
, getElementsByTagName: function getElementsByTagName() { [native code] } |
/* | |
Grep.js | |
Author : Nic da Costa ( @nic_daCosta ) | |
Created : 2012/11/14 | |
Version : 0.2 | |
(c) Nic da Costa | |
License : MIT, GPL licenses | |
Overview: | |
Basic function that searches / filters any object or function and returns matched properties. |
/* | |
Grep.js | |
Author : Nic da Costa ( @nic_daCosta ) | |
Created : 2012/11/14 | |
Version : 0.2 | |
(c) Nic da Costa | |
License : MIT, GPL licenses | |
Overview: | |
Basic function that searches / filters any object or function and returns matched properties. |
Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
- NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
- CUDA-Drivers 387.178
- CUDA 9.1 Toolkit
Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27.
- NVIDIA Web-Drivers 387.10.10.10.25.156 for 10.13.3
- CUDA-Drivers 387.178
- CUDA 9.1 Toolkit
- cuDNN 7.0.5 (latest release for mac os)
This gist (based on a blog post at byai.io) documents how to set up TensorFlow 1.6 with (e)GPU support without the need to disable SIP. Following the original gist got me a saystem in which training TF on eGPU was successful, but there were various visual glitches due to the newer / less stable version of the driver.
As pointed out by ronchigram, many people are having issues with newer NVIDIA drivers, so it's worth using the nvidia-update script by Benjamin Dobell that installs the latest stable NVIDIA web driver, and if necessary patches it to run on your system. We also don't need to disable SIP when using nvidia-update.
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