https://gyazo.com/eb5c5741b6a9a16c692170a41a49c858.png
![](https://gyazo.com/eb5c5741b6a9a16c692170a41a49c858.png | width=100)
Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.
In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.
Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
#!/bin/sh | |
set -e | |
git config -f .gitmodules --get-regexp '^submodule\..*\.path$' | | |
while read path_key path | |
do | |
url_key=$(echo $path_key | sed 's/\.path/.url/') | |
url=$(git config -f .gitmodules --get "$url_key") | |
git submodule add $url $path |
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
#!/usr/bin/python | |
import re | |
import sys | |
def removeComments(text): | |
""" remove c-style comments. | |
text: blob of text with comments (can include newlines) | |
returns: text with comments removed | |
""" | |
pattern = r""" |
brew install ImageMagick
ffmpeg -ss 14:55 -i video.mkv -t 5 -s 480x270 -f image2 %04d.png
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
docker ps | awk {' print $1 '} | tail -n+2 > tmp.txt; for line in $(cat tmp.txt); do docker kill $line; done; rm tmp.txt |