adrienbrault

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
make clean
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

Jonty

#!/usr/bin/env python3

# De-redacts PDF's that have been redacted by drawing PDF-native rectangles over the text
# This removes ALL rectangles so might also nuke any shape diagrams a bit

# python deredactatron.py a_redacted_doc.pdf
# Outputs: deredacted-a_redacted_doc.pdf

import sys
import re

dhh

ruby '2.7.1'

gem 'rails', github: 'rails/rails'
gem 'tzinfo-data', '>= 1.2016.7'  # Don't rely on OSX/Linux timezone data

# Action Text
gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
gem 'okra', github: 'basecamp/okra'

# Drivers

sirupsen

require "sqlite3"
require 'set'
require 'byebug'
# Will be rebuilt at any time. Nice and incremental.
db = SQLite3::Database.new "index.db"

# Keep prefix indexes for "mos*" searches.
#
# TODO: It doesn't seem like SQLITE FTS5 supports synonyms well. That's ok, but
# we're going to want that. We can download this database from Princeton, write

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

kule

require 'bundler/inline'

gemfile do
  source 'https://rubygems.org'
  gem 'colorize'
end

class MatcherInterface
  def initialize(some_object)
    @some_object = some_object

mhl

In https://www.wikidata.org/wiki/Special:Preferences#mw-prefsection-gadgets

Turn on KeyShortcuts

Turn on checkConstraints

This is very helpful, but will produce lots of warnings that you can ignore, in particular:

• the inception date of positions

Make sure every item items won’t just get deleted

To do this, you should make sure that the item has at least one of the following:

• An associated Wikipedia page

flaviocopes

package main

import (
	"strings"
)

func main() {
	strings.HasSuffix("foobar", "bar") // true
}

JJediny

There are two types of markup in Liquid: Output and Tag.

• Output markup (which may resolve to text) is surrounded by

{{ matched pairs of curly brackets (ie, braces) }}

• Tag markup (which cannot resolve to text) is surrounded by

max-mapper

1. compile ffmpeg for arm https://github.com/fiorix/ffmpeg-arm
2. create youtube 'live event'. get rtmp url + session id
3. run this:

raspivid -o - -t 0 -vf -hf -fps 30 -b 6000000 | ffmpeg -re -ar 44100 -ac 2 -acodec pcm_s16le -f s16le -ac 2 -i /dev/zero -f h264 -i - -vcodec copy -acodec aac -ab 128k -g 50 -strict experimental -f flv rtmp://a.rtmp.youtube.com/live2/<SESSION>

you can tweak -b and -fps to your liking. the settings above work well for 1080p. by not specifying width or height we get the full 1920x1080 resolution from the raspi camera