Search Results for "virtual-machine"

...While specific documentation about SCAIL’s exact goals and implementation is limited from the repository context alone, the project appears to be part of a collection of machine learning and AI research tools that facilitate scalable model development, evaluation, or application workflows. Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. ...

Welcome to Jahshaka, the virtual reality authoring toolkit that was created by artists, for artists. The only way to build and publish virtual worlds.

RealityUI is a collection of user interface classes for RealityKit. The classes included in RealityUI aim to offer familiar User Interface guidelines, but in a 3D setting for Augmented and Virtual Reality through RealityKit. The User Interface controls in this repository so far are made to be familiar to what people are used to with 2D interfaces, however the plan is to expand the tools on offer to new and unique controls, which are more appropriate for an Augmented Reality and Virtual Reality context. RUISwitch is a 3D toggle switch with an on and off state. ...

...The library is released under the GNU General Public License version 3. For researchers who want to use the library for their work, please quote the papers as follows: + Efficient Composition for Virtual Camera Control. C. Lino, M. Christie. In ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2012, Lausanne, Switzerland. + Intuitive and Efficient Camera Control with the Toric Space. C. Lino, M. Christie. ACM Transactions on Graphics (TOG) - Proceedings of SIGGRAPH, Vol. 34 (4), pp. 82:1-82:12, 2015, ACM New York, NY, USA.

DawNLITE is a Natural-Language-based Image Transmoding Engine. The software transforms an image to a video as recorded by a virtual camera panning and zooming over the image, following a natural language text description of the image.