Follow the instructions on Github to Create an Access Token in Github
By default, git credentials are not cached so you need to tell Git if you want to avoid having to provide them each time Github requires you to authenticate. On Mac, Git comes with an “osxkeychain” mode, which caches credentials in the secure keychain that’s attached to your system account.
You can tell Git you want to store credentials in the osxkeychain by running the following:-
| """ | |
| Create train, valid, test iterators for CIFAR-10 [1]. | |
| Easily extended to MNIST, CIFAR-100 and Imagenet. | |
| [1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4 | |
| """ | |
| import torch | |
| import numpy as np |
The Batch Normalization paper describes a method to address the various issues related to training of Deep Neural Networks. It makes normalization a part of the architecture itself and reports significant improvements in terms of the number of iterations required to train the network.
Covariate shift refers to the change in the input distribution to a learning system. In the case of deep networks, the input to each layer is affected by parameters in all the input layers. So even small changes to the network get amplified down the network. This leads to change in the input distribution to internal layers of the deep network and is known as internal covariate shift.
It is well established that networks converge faster if the inputs have been whitened (ie zero mean, unit variances) and are uncorrelated and internal covariate shift leads to just the opposite.
| /***************************************************************** | |
| LSM9DS1_Simple.ino | |
| SFE_LSM9DS1 Library Simple Example Code | |
| Jim Lindblom @ SparkFun Electronics | |
| Original Creation Date: February 27, 2015 | |
| https://github.com/sparkfun/LSM9DS1_Breakout | |
| The LSM9DS1 is a versatile 9DOF sensor. It has a built-in | |
| accelerometer, gyroscope, and magnetometer. Very cool! Plus it | |
| functions over either SPI or I2C. |
Use case: You have repository A with remote location rA, and repository B (which may or may not have remote location rB). You want to do one of two things:
NB: Check out git subtree/git submodule and this Stack Overflow question before going through the steps below. This gist is just a record of how I solved this problem on my own one day.
Before starting, make sure your local and remote repositories are up-to-date with all changes you need. The following steps use the general idea of changing the remote origin and renaming the local master branch of one of the repos in order to combine the two master branches.
| % Arrange three figures like this: | |
| % Fig 1 | |
| % Fig 2 Fig 3 | |
| \begin{figure} | |
| \centering | |
| \subfigure[] | |
| { | |
| \includegraphics[scale=.2]{foo1.pdf} | |
| } |
Here's an example of how to embed a Gist on GitHub Pages:
{% gist 5555251 %}
All you need to do is copy and paste the Gist's ID from the URL (here 5555251), and add it to a gist tag surrounded by {% and %}.
As configured in my dotfiles.
start new:
tmux
start new with session name:
At the top of the file there should be a short introduction and/ or overview that explains what the project is. This description should match descriptions added for package managers (Gemspec, package.json, etc.)
Show what the library does as concisely as possible, developers should be able to figure out how your project solves their problem by looking at the code example. Make sure the API you are showing off is obvious, and that your code is short and concise.
