jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

joegoggins

" Use Vim settings, rather then Vi settings (much better!).
" This must be first, because it changes other options as a side effect.
set nocompatible

" ================ General Config ====================

set number                      "Line numbers are good
set backspace=indent,eol,start  "Allow backspace in insert mode
set history=1000                "Store lots of :cmdline history
set showcmd                     "Show incomplete cmds down the bottom

samueljon

#!/bin/bash

brew install wine-stable winetricks

WINEARCH=win32 WINEPREFIX=~/.wine winecfg
mkdir ~/.cache/winetricks/

winetricks -q dotnet45 corefonts

skanev

#!/usr/bin/env ruby

# A sneaky wrapper around Rubocop that allows you to run it only against
# the recent changes, as opposed to the whole project. It lets you
# enforce the style guide for new/modified code only, as opposed to
# having to restyle everything or adding cops incrementally. It relies
# on git to figure out which files to check.
#
# Here are some options you can pass in addition to the ones in rubocop:
#

gbuesing

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

danijar

# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):