OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

nateraw

"""
Built on top of this gist by @karpathy:
https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355

stable diffusion dreaming over text prompts
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:
$ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

marcan

#!/usr/bin/python3
# Solution to the challenge at https://gist.github.com/ehmo/7f515ac6461c1c4d3e5a74f12e6eb5ea
# Sample solution: https://twitter.com/marcan42/status/1428933147660492800
#
# Given an input base image, computes two derivative images that have different
# perceptual hashes, yet differ by only one pixel.
#
# Usage: hash_bisector.py <input.png> <output_a.png> <output_b.png>
#
# Licensed under the terms of the STRONGEST PUBLIC LICENSE, Draft 1:

mommi84

Awesome Knowledge Graph Embedding Approaches

This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.

Libraries

• 🆕 AmpliGraph (4 algorithms) @ https://github.com/Accenture/AmpliGraph
• Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding

sadbox

#!/bin/bash

# Stolen from http://answers.microsoft.com/en-us/mac/forum/macoffice2011-macoutlook/office-for-mac-mavericks-high-performance-gpu/e1a6aff0-e36e-40ae-ab62-aa7e3e0c6b10

# Enable for Lync
AppName="/Applications/Microsoft Lync.app"
defaults write "$AppName/Contents/Info.plist" "NSSupportsAutomaticGraphicsSwitching" -bool true
if [ $? -eq 0 ]; then
   chmod 664 "$AppName/Contents/Info.plist"
   # Code sign Lync again

swannodette

(ns react-cljs.core
  (:require React))

(declare render)

(defn handle-change [e]
  (render {:text (.. e -target -value)}))

(defn render [{:keys [text]}]
  (React/renderComponent

macintux

• https://ferd.ca/a-distributed-systems-reading-list.html
• http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
• https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
• http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
• http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
• http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
• http://rxin.github.io/db-readings/
• http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
• http://pdos.csail.mit.edu/dsrg/papers/
• http://scalingsystems.com/2011/09/07/reading-list-for-distributed-systems/

pingles

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; SMOOTHING
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

(defn exponential-smooth
"
    Smooths a sequence with an exponentially decreasing weight.

    Arguments:
      x -- a sequence of numbers

apage43

(ns sector
  (:require [clj-http.client :as http])
  (:use [clojure.contrib.json]))

(def couch "http://127.0.0.1:5984/")
(def db (str couch "tagged/"))
(def view (str db "_design/merge/_view/tags"))

;;Just using rqc to record how many rqs are made.
(def rqc (agent 0))