oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V.

oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN.

The oneAPI Video Processing Library (oneVPL) is a programming interface for video decoding, encoding, and processing to build portable media pipelines on CPUs, GPUs, and other accelerators.

It provides device discovery and selection in media centric and video analytics workloads and API primitives for zero-copy buffer sharing. oneVPL is backwards and cross-architecture compatible to ensure optimal execution on current and next generation hardware without source code changes.

See the oneVPL Specification for additional information. This is part of the oneAPI specification. This repository contains the following components of oneVPL:

* Copies of the oneVPL Specification API header files. The version of the oneVPL API is listed in the mfxdefs.h file.
* oneVPL Dispatcher
* Examples demonstrating API usage
* oneVPL command line tools

The objective of the ‘oneAPI’ Level-Zero Application Programming Interface (API) is to provide direct-to-metal interfaces to offload accelerator devices. Its programming interface can be tailored to any device needs and can be adapted to support broader set of languages features such as function pointers, virtual functions, unified memory, and I/O capabilities.

Ritchie is an open source framework that creates and tweaks a CLI for your team. It allows you to easily create, build and share formulas. This package contains the CLI core, which can execute formulas stored inside other repositories such as ritchie-formulas.

The SDK allows depth and color streaming, and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (pointcloud, depth aligned to color and vise-versa), and a built-in support for record and playback of streaming sessions.

The Zed Attack Proxy (ZAP) is an easy to use integrated penetration testing tool for finding vulnerabilities in web applications. It is designed to be used by people with a wide range of security experience and as such is ideal for developers and functional testers who are new to penetration testing. ZAP provides automated scanners as well as a set of tools that allow you to find security vulnerabilities manually.

This project was created for package ollama via attribute OBS:Maintained

This project builds images for Cloud environments based on openSUSE Leap 15.4

This project was created for the openSUSE Linux 15.5 platform optimized for HPC processing, computer vision, Classical and Generative Artificial Intelligence. Optimizations include SSE primitives 4.1, 4.2, AVX, AVX2, AVX512, AMX, FPGA Accelerators, CUDA and opencv libraries.

This project builds images for Cloud environments based on openSUSE Leap 15.6

MultiCortex is a solution based on JAX Linux technology, maintained by the openSUSE for Innovators project. Its goal is to provide optimized artificial intelligence technologies for all market accelerators in an agnostic manner.

The INNOVATORS for openSUSE project, is an initiative to share, disseminate and promote projects, articles and news about innovative projects on the openSUSE platform developed by the community and public and private companies.

All information on this wiki is related to innovative projects that use augmented reality technology, artificial intelligence, computer vision, robotics, virtual assistants and any and all innovative technology (in all hardware plataforms ).

This initiative search collaborators for the project, the objective is to show the power of the openSUSE platform in innovative projects. To send suggestions, criticisms or be part of the INNOVATORS openSUSE community, send an email to the administrator Alessandro de Oliveira Faria (A.K.A. CABELO) at the email cabelo@opensuse.org

requires kernels with ZRAM support.

bash based systemd service to manage zram drives, including swap.
Config file: /etc/zramservice.conf
Activate service: systemctl enable zram; systemctl start zram

features:
- SIMPLE!
- Robust script and config parsing
- Automatic size and memory limit calculations,

Repository for Intel® Technology. This packages are for Deep Learning, Computer Vision, OpenVINO, oneAPI and DevCloud projects.

Repository for the Magalu cloud with Artificial Intelligence packages for computer vision, HPC (High Performance Computing) and other packages from the openSUSE for Innovators Project.

Pacotes utilizados pelo grupo de desenvolvimento Manakin