Next.js, Nginx with Reverse proxy, SSL certificate
| """ | |
| A bare bones examples of optimizing a black-box function (f) using | |
| Natural Evolution Strategies (NES), where the parameter distribution is a | |
| gaussian of fixed standard deviation. | |
| """ | |
| import numpy as np | |
| np.random.seed(0) | |
| # the function we want to optimize |
The easiest way to "convert" MKV to MP4, is to copy the existing video and audio streams and place them into a new container. This avoids any encoding task and hence no quality will be lost, it is also a fairly quick process and requires very little CPU power. The main factor is disk read/write speed.
With ffmpeg this can be achieved with -c copy. Older examples may use -vcodec copy -acodec copy which does the same thing.
These examples assume ffmpeg is in your PATH. If not just substitute with the full path to your ffmpeg binary.
| """ 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 |
More details - http://blog.gbaman.info/?p=791
For this method, alongside your Pi Zero, MicroUSB cable and MicroSD card, only an additional computer is required, which can be running Windows (with Bonjour, iTunes or Quicktime installed), Mac OS or Linux (with Avahi Daemon installed, for example Ubuntu has it built in).
1. Flash Raspbian Jessie full or Raspbian Jessie Lite onto the SD card.
2. Once Raspbian is flashed, open up the boot partition (in Windows Explorer, Finder etc) and add to the bottom of the config.txt file dtoverlay=dwc2 on a new line, then save the file.
3. If using a recent release of Jessie (Dec 2016 onwards), then create a new file simply called ssh in the SD card as well. By default SSH i
How to have some fun using the terminal.
sudo apt-get install cowsaysudo apt-get install fortunesudo apt-get install figletruby -vgem install lolcat
diamonds <- ggplot2::diamonds
pryr::object_size(diamonds)
#> 3.46 MB
diamonds2 <- transform(diamonds, price_per_carat = price / carat)
pryr::object_size(diamonds2)
#> 3.89 MB
# Size of both data frames combined| // Create a vector of evenly spaced numbers. | |
| vector<double> range(double min, double max, size_t N) { | |
| vector<double> range; | |
| double delta = (max-min)/double(N-1); | |
| for(int i=0; i<N; i++) { | |
| range.push_back(min + i*delta); | |
| } | |
| return range; | |
| } |
| #!/usr/bin/env bash | |
| # Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific) | |
| # BSD License | |
| orig_executor="$(whoami)" | |
| if [ "$(whoami)" == "root" ]; then | |
| echo "running as root, please run as user you want to have stuff installed as" | |
| exit 1 | |
| fi | |
| ################################### |
| #!/usr/local/bin/fontforge | |
| # Usage: fontforge -script ttc2ttf.pe /path/to/font.ttc | |
| fonts = FontsInFile($1) | |
| n = SizeOf(fonts) | |
| i = 0 | |
| while (i < n) | |
| Open($1 + "(" + fonts[i] + ")", 1) | |
| index = ToString(i + 1) |
