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@gre
gre / easing.js
Last active April 16, 2024 19:53
Simple Easing Functions in Javascript - see https://github.com/gre/bezier-easing
/*
* This work is free. You can redistribute it and/or modify it under the
* terms of the Do What The Fuck You Want To Public License, Version 2,
* as published by Sam Hocevar. See the COPYING file for more details.
*/
/*
* Easing Functions - inspired from http://gizma.com/easing/
* only considering the t value for the range [0, 1] => [0, 1]
*/
EasingFunctions = {
@marktheunissen
marktheunissen / pedantically_commented_playbook.yml
Last active March 31, 2024 18:45 — forked from phred/pedantically_commented_playbook.yml
Insanely complete Ansible playbook, showing off all the options
This playbook has been removed as it is now very outdated.
@martinseener
martinseener / gist:5247292
Last active July 1, 2019 21:38
Grok Sophos UTM 9.x Pattern (for logstash) (Simple)
filter {
grok {
pattern => ['(?:%{SYSLOGTIMESTAMP:timestamp}|%{TIMESTAMP_ISO8601:timestamp8601}) (?:%{SYSLOGHOST:logsource}) (?:%{YEAR}): (?:%{MONTHNUM}):(?:%{MONTHDAY})-(?:%{HOUR}):(?:%{MINUTE}):(?:%{SECOND}) (?:%{SYSLOGHOST}) (?:%{SYSLOGPROG}): (?<messagebody>(?:id=\"%{INT:utm_id}\" severity=\"%{LOGLEVEL:utm_severity}\" sys=\"%{DATA:utm_sys}\" sub=\"%{DATA:utm_sub}\" name=\"%{DATA:utm_name}\" action=\"%{DATA:utm_action}\" fwrule=\"%{INT:utm_ulogd_fwrule}\" initf=\"%{DATA:utm_ulogd_initf}\" outitf=\"%{DATA:utm_ulogd_outif}\" (?:srcmac=\"%{GREEDYDATA:utm_ulogd_srcmac}\" dstmac=\"%{GREEDYDATA:utm_ulogd_dstmac}\"|srcmac=\"%{GREEDYDATA:utm_ulogd_srcmac}\") srcip=\"%{IP:utm_srcip}\" dstip=\"%{IP:utm_dstip}\" proto=\"%{INT:utm_protocol}\" length=\"%{INT:utm_ulogd_pkglength}\" tos=\"%{DATA:utm_ulogd_tos}\" prec=\"%{DATA:utm_ulogd_prec}\" ttl=\"%{INT:utm_ulogd_ttl}\" srcport=\"%{INT:utm_srcport}\" dstport=\"%{INT:utm_dstport}\" tcpflags=\"%{DATA:utm_ulogd_tcpflags}\"|id=\"%{INT:utm_id}\" severity=\"%{LOGLEVEL:utm
@ftrain
ftrain / rhymes.clj
Last active July 14, 2023 22:20
Annotated rhyming dictionary
;; This is at: https://gist.github.com/8655399
;; So we want a rhyming dictionary in Clojure. Jack Rusher put up
;; this code here:
;;
;; https://gist.github.com/jackrusher/8640437
;;
;; I'm going to study this code and learn as I go.
;;
;; First I put it in a namespace.
@syhw
syhw / dnn.py
Last active January 24, 2024 19:38
A simple deep neural network with or w/o dropout in one file.
"""
A deep neural network with or w/o dropout in one file.
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams
@markwalkom
markwalkom / logstash.conf
Last active April 29, 2022 10:23
Reindexing Elasticsearch with Logstash 2.0
input {
elasticsearch {
hosts => [ "HOSTNAME_HERE" ]
port => "9200"
index => "INDEXNAME_HERE"
size => 1000
scroll => "5m"
docinfo => true
scan => true
}
@karpathy
karpathy / min-char-rnn.py
Last active April 16, 2024 18:25
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)
@maxim
maxim / gh-dl-release
Last active March 29, 2024 16:41
Download assets from private Github releases
#!/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
#
@yrevar
yrevar / imagenet1000_clsidx_to_labels.txt
Last active April 16, 2024 04:08
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',
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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