Search Results for "google code search diggity"

Advanced Search Operators List is a reference collection for learning powerful search syntax across many websites and applications. Instead of focusing only on Google dorks, it links directly to documentation for search operators used by email services, social networks, code platforms, productivity tools, search engines, and specialized databases.

OpenGrok is a fast and usable source code search and cross reference engine. It helps you search, cross-reference and navigate your source tree. It understands various program file formats and history from many Source Code Management systems. In other words it lets you grok (profoundly understand) source code and is developed in the open, hence the name OpenGrok. It is written in Java.

Dorks Collections List is a curated index of repositories, articles, query collections, extensions, and tools related to advanced search operators. It covers multiple search and discovery platforms rather than focusing only on Google. Sections include resources for GitHub, Shodan, Censys, VirusTotal, Netlas, DuckDuckGo, Yandex, code hosting, cloud services, onion indexes, and other specialized targets. The repository also groups material by research purpose, such as finding files, technical assets, public documents, backlinks, or bug-bounty information. ...

...Components and blocks/snippets drag and drop. Undo/Redo operations. One or two panels interface. File manager and component hierarchy navigation. Add a new page. Live code editor. Image upload with example PHP script included. Page download or export HTML or save the page on the server with example PHP script included. Components/Blocks list search. Bootstrap 4 components. Youtube, Google maps, Charts.js, etc widgets. By default, the editor comes with Bootstrap 4 and Widgets components and can be extended with any kind of components and inputs.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the...