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This repository contains generated files and a checksum. Do not edit the files in this repository outside of an instance of ServiceNow.
This repository contains generated files and a checksum. Do not edit the files in this repository outside of an instance of ServiceNow.
Istanbul instrumenter loader for webpack
coverage karma istanbul webpack-loader webpack loaderLearn how to use Istanbul to check/track Code Coverage in your JavaScript projects. Like the road sign that is "Not In Use" too much code being written never gets executed.
coverage codecov testing tutorial istanbul code how-to learnAn Angular starter kit featuring Angular 5, Ahead of Time Compile, Router, Forms, Http, Services, Tests, E2E), Karma, Protractor, Jasmine, Istanbul, TypeScript, @types, TsLint, Codelyzer, Hot Module Replacement, and Webpack by AngularClass.This seed repo serves as an Angular starter for anyone looking to get up and running with Angular and TypeScript fast. Using a Webpack 3 for building our files and assisting with boilerplate. We're also using Protractor for our end-to-end story and Karma for our unit tests.
angular typescript webpack angularclass starter-kit aot protractor karma lazy-loading hmr aot-compilation jasmine istanbul docker angular5 angular2 angular4 tipe tipe.ioDeprecation Notice: this version of istanbul is deprecated, we will not be landing pull requests or releasing new versions. But don't worry, the Istanbul 2.0 API is now available and is being actively developed in the new istanbuljs organization. The best way to see it in action is to run node unit tests. Say you have a test script test.js that runs all tests for your node project without coverage.
coverage code-coverage js-code-coverage js-coverageSnorkel is a system for rapidly creating, modeling, and managing training data, currently focused on accelerating the development of structured or "dark" data extraction applications for domains in which large labeled training sets are not available or easy to obtain. <BR><BR> Today's state-of-the-art machine learning models require massive labeled training sets--which usually do not exist for real-world applications. Instead, Snorkel is based around the new data programming paradigm, in which the developer focuses on writing a set of labeling functions, which are just scripts that programmatically label data. The resulting labels are noisy, but Snorkel automatically models this process—learning, essentially, which labeling functions are more accurate than others—and then uses this to train an end model (for example, a deep neural network in TensorFlow).
machine-learning ai information-extraction weak-supervision training-data dark-data training-sets modeling data-modelingThis GitHub repo houses all of the training content for Office 365 Development training courses.You are welcome to use this content as you wish to train your internal developers or present at User Groups or Conferences. There are speaker notes here to help you set up your development environment.
Last.Backend is an open source platform for containerized application management: from deploy to scale. This solution is based on container technology. All these runtimes are documented in runtime section, where are described all methods, types and algorithms.
cloud docker hosting ci cd continuous-delivery continuous-integration provisioning backend appdev containers lastbackend caas paas cri runc hubThis repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 6,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more. These courses serve as comprehensive guide for any network and security professional who is starting a career in ethical hacking and penetration testing. It also can help individuals preparing for the Offensive Security Certified Professional (OSCP), the Certified Ethical Hacker (CEH), CompTIA PenTest+ and any other ethical hacking certification. This course helps any cyber security professional that want to learn the skills required to becoming a professional ethical hacker or that want to learn more about general hacking methodologies and concepts.
hacking penetration-testing hacking-series video-course cybersecurity ethical-hacking ethicalhacking hacker exploit exploits exploit-development vulnerability vulnerability-scanners vulnerability-assessment vulnerability-management vulnerability-identification awesome-lists awesome-list training hackersTraining course repository for iOS app development
Isparta is a code coverage tool for ES6 using babel. Its intention is to be used with karma and karma-coverage, which provides code coverage reports using istanbul.
karma karma-coverage karma-traceur-preprocessor istanbul 6to5 babel es6 harmonyThis is an ASP.Net (VB.Net) Web based training application. This application can be configured to ask multiple choice questions for multiple groups, score based on percentage, create completion certificates and be completely managed via a web interface,
SPInvoice is a simple invoice generation application for SharePoint, designed as a training solution to teach advanced SharePoint development techniques.
This is a windows phone application which aims to show Istanbul Technical Univercity's daily lunches.
This is Python training and testing code for Locally Optimized Product Quantization (LOPQ) models, as well as Spark scripts to scale training to hundreds of millions of vectors. The resulting model can be used in Python with code provided here or deployed via a Protobuf format to, e.g., search backends for high performance approximate nearest neighbor search.Locally Optimized Product Quantization (LOPQ) [1] is a hierarchical quantization algorithm that produces codes of configurable length for data points. These codes are efficient representations of the original vector and can be used in a variety of ways depending on the application, including as hashes that preserve locality, as a compressed vector from which an approximate vector in the data space can be reconstructed, and as a representation from which to compute an approximation of the Euclidean distance between points.
nearest-neighbor-search product-quantization lopq clustering sparkSample application used for PHPUnit training.
The OWASP Security Shepherd Project is a web and mobile application security training platform. Security Shepherd has been designed to foster and improve security awareness among a varied skill-set demographic. The aim of this project is to take AppSec novices or experienced engineers and sharpen their penetration testing skill set to security expert status. We've got fully automated and step by step walkthroughs on our wiki page to help you get Security Shepherd up and running.
This project develops an XML authoring tool and a repository for Java training and tutorial material. This material is primarily directed at those who provide Java class-room training (like ourselves!), but may be of use to anyone studying Java.
Project Training System: Train all skills necessary during the development cycle of a software project. Communication between developers, testers, editors and users is technically supported by the sourceforge infrastructure. The project shall demonstrate
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