In this fourth part of this series about the «Google Open Source » We will continue to explore the wide and growing catalog of open applications developed by the Technological Giant de «Google".
In order to continue expanding our knowledge about the open apps released by each of the Tech Giants from the group known as GAFAM. What, as many already know, is made up of the following North American companies: "Google, Apple, Facebook, Amazon and Microsoft".
For those interested in exploring our initial publication related to the topic, you can click on the following link, after finishing reading this publication:
While, to explore the Previous 3 parts of this series You can click on the following link:
GOS-P4: Google Open Source - Part 4
Applications of the Google Open Source
Dart
It is a programming language developed in Google and approved as a standard by ECMA. It is designed to be productive, stable and without surprises, which makes it ideal for web development, and it can also be transcompiled to JavaScript, but it can also be used to build server, desktop and mobile applications. Dart is designed with a "batteries included" philosophy and includes automatic type coercion to avoid surprises when developing large applications. Dart is currently used by Google in products like Google AdSense, AdWords, Elections, and Shopping Express. see more at: google opensource, GitHub y Official Web.
Deep Mind Lab
It is a customizable 3D platform for agent-based AI (Artificial Intelligence) research. Specifically, it is a 3D first-person gaming platform designed for research and development of general artificial intelligence and machine learning systems. It offers a set of navigation and puzzle-solving tasks that are especially useful for deep reinforcement learning. Its simple and flexible API allows you to quickly explore and replicate creative AI and task designs. It is currently used by Google to research and train learning agents. see more at: Google Open Source y GitHub.
Dopamine
It is a TensorFlow-based research framework for rapid prototyping of reinforcement learning algorithms. It is intended to meet the need for a small, easy-to-understand codebase where users can freely experiment with wild ideas (speculative research). Among its basic design principles is to offer ease of experimentation, that is, to facilitate new users to carry out reference experiments; providing a flexible development, being a compact and reliable tool, and finally, achieving reproducibility of the results. see more at: Google Open Source y GitHub.
Draco
It is a library for compressing and decompressing 3D graphics (3D geometric meshes and point clouds). Its aim is to improve the storage and transmission of 3D graphics. It has been designed and built to achieve compression speed and efficiency. Its code allows compressing points, connectivity information, texture coordinates, color information, normals and any other generic attribute associated with the geometry. With Draco, applications that use 3D graphics can be significantly smaller without compromising visual fidelity. Draco is released as C ++ source code that can be used to compress 3D graphics, as well as C ++ and Javascript decoders for encoded data. see more at: Google Open Source y GitHub.
Conclusion
We hope this "useful little post" on this fourth exploration of the «Google Open Source»
, offers an interesting and wide variety of open applications developed by the Technological Giant of «Google»
; and is of great interest and utility, for the entire «Comunidad de Software Libre y Código Abierto»
and of great contribution to the diffusion of the wonderful, gigantic and growing ecosystem of applications of «GNU/Linux»
.
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