Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.
brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus
# use ImageMagick convert | |
# the order is important. the density argument applies to input.pdf and resize and rotate to output.pdf | |
convert -density 90 input.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray output.pdf |
def mirror_padding(images, filter_size): | |
""" | |
Mirror padding is used to apply a 2D convolution avoiding the border | |
effects that one normally gets with zero padding. | |
We assume that the filter has an odd size. | |
To obtain a filtered tensor with the same output size, substitute | |
a ``conv2d(images, filters, mode="half")`` with | |
``conv2d(mirror_padding(images, filters.shape), filters, mode="valid")``. |
""" 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/env bash | |
# | |
# gh-dl-release! It works! | |
# | |
# This script downloads an asset from latest or specific Github release of a | |
# private repo. Feel free to extract more of the variables into command line | |
# parameters. | |
# | |
# PREREQUISITES | |
# |
People
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:relaxed: |
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😍 :heart_eyes: |
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😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
from sklearn import linear_model | |
from scipy import stats | |
import numpy as np | |
class LinearRegression(linear_model.LinearRegression): | |
""" | |
LinearRegression class after sklearn's, but calculate t-statistics | |
and p-values for model coefficients (betas). | |
Additional attributes available after .fit() |
Backstory: I decided to crowdsource static site generator recommendations, so the following are actual real world suggested-to-me results. I then took those and sorted them by language/server and, just for a decent relative metric, their Github Watcher count. If you want a heap of other projects (including other languages like Haskell and Python) Nanoc has the mother of all site generator lists. If you recommend another one, by all means add a comment.