Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
| Welcome to Jordan's grab-bag of common Binary Ninja Snippets. | |
| These snippest are meant to run with the Binary Ninja Snippets Plugin | |
| (http://github.com/Vector35/snippets) though they can all also be pasted | |
| directly into the python console or turned into stand-alone plugins if needed. | |
| To install the entire collection at once, just install the Snippets plugin via | |
| the plugin manager (CMD/CTL-SHIFT-M), confirm the Snippet Editor works | |
| (Tool/Snippets/Snippet Editor), and unzip this bundle (Download ZIP above) into | |
| your Snippets folder. |
The following are appendices from Optics By Example, a comprehensive guide to optics from beginner to advanced! If you like the content below, there's plenty more where that came from; pick up the book!
| import numpy as np | |
| import tensorflow as tf | |
| input_tensor = tf.constant(1, dtype=tf.int64) | |
| keys = tf.constant(np.array([1,2,3]), dtype=tf.int64) | |
| values = tf.constant(np.array([4,5,6]), dtype=tf.int64) | |
| default_value = tf.constant(-1, dtype=tf.int64) | |
| table = tf.contrib.lookup.HashTable( |
| /* | |
| Copyright (c) 2011, Thomas Dullien | |
| All rights reserved. | |
| Redistribution and use in source and binary forms, with or without | |
| modification, are permitted provided that the following conditions | |
| are met: | |
| Redistributions of source code must retain the above copyright notice, | |
| this list of conditions and the following disclaimer. Redistributions |
| #!/usr/bin/env python | |
| # Copyright 2017 Ryan Stortz (@withzombies) | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # |
| (ns stats) | |
| (defn mode [vs] | |
| (let [fs (frequencies vs)] | |
| (first (last (sort-by second fs))))) | |
| (defn quantile | |
| ([p vs] | |
| (let [svs (sort vs)] | |
| (quantile p (count vs) svs (first svs) (last svs)))) |
| #!/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 | |
| # |
| % -------------------------------------------------------------- | |
| % This is all preamble stuff that you don't have to worry about. | |
| % Head down to where it says "Start here" | |
| % -------------------------------------------------------------- | |
| \documentclass[12pt]{article} | |
| \usepackage[margin=1in]{geometry} | |
| \usepackage{amsmath,amsthm,amssymb} | |