| --- | |
| layout: default | |
| --- | |
| <div class="blog-index"> | |
| {% assign post = site.posts.first %} | |
| {% assign content = post.content %} | |
| {% include post_detail.html %} | |
| </div> |
| # for x264 | |
| ./configure --enable-static \ | |
| --disable-opencl \ | |
| --disable-avs \ | |
| --disable-cli \ | |
| --disable-ffms \ | |
| --disable-gpac \ | |
| --disable-lavf \ | |
| --disable-swscale \ | |
| --prefix=/usr/local/ |
| module HMM | |
| using Distributions | |
| import Distributions.rand | |
| import Distributions.fit | |
| immutable HiddenMarkovModel{TP, K} | |
| theta::Vector{TP} | |
| A::Matrix{Float64} |
| <html> | |
| <head> | |
| <script src="//cdnjs.cloudflare.com/ajax/libs/underscore.js/1.4.2/underscore-min.js"></script> | |
| <script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script> | |
| <script src="//cdnjs.cloudflare.com/ajax/libs/modernizr/2.6.2/modernizr.min.js"></script> | |
| <script src="//ajax.cdnjs.com/ajax/libs/json2/20110223/json2.js"></script> | |
| <!-- | |
| TODO: |
| data.table vs SparkR | |
| group-by aggregate on 100M records (1M groups) | |
| data.table 6.5 sec (without key) / 1.3 sec (with key) - all 1 core | |
| SparkR cached 200 sec (8 cores) | |
| 30x / 150x ( 240x / 1200x per core) |
| #!/usr/bin/env python | |
| # sample: Output lines from stdin to stdout with a given probability, | |
| # for a given duration, and with a given delay between lines. | |
| # | |
| # Example usage: seq 100 | sample -r 20% -d 1000 | |
| # | |
| # Dependency: Python 2.5 | |
| # | |
| # Original Author: http://jeroenjanssens.com | |
| # Original Script: https://github.com/jeroenjanssens/data-science-at-the-command-line/blob/master/tools/sample |
| #!/usr/local/bin/python3 | |
| import subprocess | |
| import shlex | |
| import json | |
| # function to find the resolution of the input video file | |
| def findVideoMetada(pathToInputVideo): | |
| cmd = "ffprobe -v quiet -print_format json -show_streams" | |
| args = shlex.split(cmd) | |
| args.append(pathToInputVideo) |
| import gym, random | |
| LEARNING_RATE = 0.1 | |
| DISCOUNT = 0.99 | |
| class qTable: | |
| """ | |
| Implements a table tracking the estimated values | |
| for state action pairs in an MDP. | |
| """ |
| from sklearn.cross_validation import train_test_split | |
| from keras.preprocessing import sequence, text | |
| from keras.models import Sequential | |
| from keras.layers import (Dense, Dropout, Activation, Embedding, LSTM, | |
| Convolution1D, MaxPooling1D) | |
| # Embedding | |
| max_features = 20000 | |
| maxlen = 100 | |
| embedding_size = 32 |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
