lomiri-gallery-app

Gallery App for Lomiri Operating Environment

This app is a core app for Ubuntu Touch's shell Lomiri. Ubuntu Touch is a mobile OS developed by the UBports Foundation. Lomiri is its operating environment optimized for touch based human-machine interaction, but also supports convergence (i.e. switching between tablet/phone and desktop mode).

lomiri-keyboard-romanian

Lomiri on-screen keyboard data files - Romanian

Lomiri Keyboard based on Maliit-Keyboard

lomiri-messaging-app

Messaging App for Lomiri Operating Environment

This app is a core app for Ubuntu Touch's shell Lomiri. Ubuntu Touch is a mobile OS developed by the UBports Foundation. Lomiri is its operating environment optimized for touch based human-machine interaction, but also supports convergence (i.e. switching between tablet/phone and desktop mode).

libdolfinx-complex0.9

Shared libraries for DOLFIN

DOLFIN is the Python and C++ interface of the FEniCS project for the automated solution of differential equations, providing a consistent PSE (Problem Solving Environment) for solving ordinary and partial differential equations. Key features include a simple, consistent and intuitive object-oriented API; automatic and efficient evaluation of variational forms; automatic and efficient assembly of linear systems; and support for general families of finite elements.

libjxl0.11

JPEG XL Image Coding System - "JXL" (shared libraries)

The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and lossless image compression format. It has a rich feature set and is particularly optimized for responsive web environments, so that content renders well on a wide range of devices. Moreover, it includes several features that help transition from the legacy JPEG format.

libonnxruntime1.21

cross-platform inference and training ML accelerator (shared lib)

ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation of all ONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility. Please refer to this page for ONNX opset compatibility details.