Skip to content

Instantly share code, notes, and snippets.

View jtoy's full-sized avatar

jtoy

View GitHub Profile
@bigsur0
bigsur0 / parallel_find_in_batches_start_end
Created September 23, 2011 16:53
Parallel gem and find_in_batches with start, end
num_processes = 2
batch_size = 1000
threads_per_process = 10
Parallel.map(0...num_processes, :in_processes => num_processes) do |i|·
User.connection.reconnect!
User.find_in_batches(:batch_size => batch_size,·
:start => (User.count/num_processes) * i,·
:conditions => ["id <= ?", (User.count/num_processes)*(i+1)]) do |batch|·
Parallel.map(batch, :in_threads => threads_per_process) do |record|
@yagays
yagays / naive-bayes.clj
Created February 3, 2012 05:21
naive-bayes(clojure)
;; 訓練データ
(def text_classified_p '(["good" "bad" "good" "good"]
["exciting" "exciting"]
["good" "good" "exciting" "boring"]))
(def text_classified_n '(["bad" "boring" "boring" "boring"]
["bad" "good" "bad"]
["bad" "bad" "boring" "exciting"]))
;;多変数ベルヌーイモデル
(defn train [features]
@erikh
erikh / hack.sh
Created March 31, 2012 07:02 — forked from DAddYE/hack.sh
OSX For Hackers
#!/usr/bin/env sh
##
# This is script with usefull tips taken from:
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
# curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active November 15, 2025 02:35
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@willurd
willurd / web-servers.md
Last active November 10, 2025 16:13
Big list of http static server one-liners

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000
@yetithefoot
yetithefoot / stuns
Last active November 5, 2025 04:35 — forked from zziuni/stuns
STUN+TURN servers list
{url:'stun:stun01.sipphone.com'},
{url:'stun:stun.ekiga.net'},
{url:'stun:stun.fwdnet.net'},
{url:'stun:stun.ideasip.com'},
{url:'stun:stun.iptel.org'},
{url:'stun:stun.rixtelecom.se'},
{url:'stun:stun.schlund.de'},
{url:'stun:stun.l.google.com:19302'},
{url:'stun:stun1.l.google.com:19302'},
{url:'stun:stun2.l.google.com:19302'},
@justinweiss
justinweiss / filterable.rb
Last active January 30, 2025 13:06
Filterable
# Call scopes directly from your URL params:
#
# @products = Product.filter(params.slice(:status, :location, :starts_with))
module Filterable
extend ActiveSupport::Concern
module ClassMethods
# Call the class methods with names based on the keys in <tt>filtering_params</tt>
# with their associated values. For example, "{ status: 'delayed' }" would call
@karpathy
karpathy / min-char-rnn.py
Last active November 12, 2025 07:00
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
#!/bin/bash
# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8
# You should get yourself a fully working GPU enabled tensorflow installation.
cd ~
# grab cuda 7.0
@yrevar
yrevar / imagenet1000_clsidx_to_labels.txt
Last active November 10, 2025 14:34
text: imagenet 1000 class idx to human readable labels (Fox, E., & Guestrin, C. (n.d.). Coursera Machine Learning Specialization.)
{0: 'tench, Tinca tinca',
1: 'goldfish, Carassius auratus',
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
3: 'tiger shark, Galeocerdo cuvieri',
4: 'hammerhead, hammerhead shark',
5: 'electric ray, crampfish, numbfish, torpedo',
6: 'stingray',
7: 'cock',
8: 'hen',
9: 'ostrich, Struthio camelus',