Abstract: In implementations of systems for stylizing digital content, a computing device implements a style system to receive input data describing digital content to be stylized based on visual styles of example content included in a digital template. The style system generates embeddings for content entities included in the digital content using a machine learning model. Classified content entities are determined based on the embeddings using the machine learning model. The style system generates an output digital template that includes portions of the digital content having the visual styles of example content included in the digital template based on the classified content entities.

Abstract: Embodiments are disclosed for real-time copyfitting using a shape of a content area and input text. A content area and an input text for performing copyfitting using a trained classifier is received. A number of remaining characters in the content area is computed in real-time using the input, the computing performed in response to receiving additional input text, wherein computing, in real-time, the number of remaining characters in the content area using the input text includes generating, by the trained classifier, a set of weights including a first set of one or more weights for the input text and a second set of one or more weights for the content area. The first set of one or more weights, the second set of one or more weights, the input text, and the additional input text, and a copyfitting parameter indicating a number of additional characters to be fitted into the content area are determined based on the content area.

Abstract: Embodiments described herein include aspects related to generating a layout-aware background image. Aspects of the method include receiving a training dataset comprising a document. The method further includes obtaining a mask image based on a layout of content in the document, the mask image having a content area corresponding to content of the document. The method further includes training a machine learning model using the mask image to provide a trained machine learning model that generates transparency values for pixels of a background image for the document.

Abstract: Techniques for executing one or more instances of a computer program using virtual machines, the computer program comprising multiple computer program portions including a first computer program portion. The techniques include determining whether an instance of any of the multiple computer program portions is to be executed; when it is determined that a first instance of the first computer program portion is to be executed, accessing first information specifying a first set of one or more virtual machine resources required for executing the first instance of the first computer program portion; determining whether any one of the plurality of virtual machines has at least the first set of virtual machine resources available; and when it is determined that a first of the plurality of virtual machines has the first set virtual machine resources available, causing the first virtual machine to execute the first instance of the first computer program portion.

Abstract: Techniques for executing one or more instances of a computer program using virtual machines, the computer program comprising multiple computer program portions including a first computer program portion. The techniques include determining whether an instance of any of the multiple computer program portions is to be executed; when it is determined that a first instance of the first computer program portion is to be executed, accessing first information specifying a first set of one or more virtual machine resources required for executing the first instance of the first computer program portion; determining whether any one of the plurality of virtual machines has at least the first set of virtual machine resources available; and when it is determined that a first of the plurality of virtual machines has the first set virtual machine resources available, causing the first virtual machine to execute the first instance of the first computer program portion.