Intel Corporation
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openvino-ai-plugins-gimp
Public- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
- Advanced Quantization Algorithm for LLMs/VLMs.
- Documentation
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
- The Rapid Open Hardware Development (ROHD) framework is a framework for describing and verifying hardware in the Dart programming language.
- This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise
- Toolkit for managing and monitoring Kubernetes clusters; includes a Curses-based console UI as well as a few command-line tools.
- The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 200 common, vulnerable components (openssl, libpng, libxml2, expat and others), or if you know the components used, you can get a list of known vulnerabilities associated with an SBOM or a list of components and versions.
- Collection of Intel device plugins for Kubernetes
- AI Connect for Scientific Data (AiCSD) is a new solution for using AI to connect data from scientific instruments to applicable AI pipelines and run workloads at the edge. This repository contains EdgeX Foundry based microservices to automatically detect, manage, and process OEM images with OpenVINO.
- Known vulnerability scanning for your GitHub repository using CVE Binary Tool. This Action can scan binaries, component lists and SBOMs for known vulnerabilities and CVEs. It can generate SBOM component lists as well as reports in the Security Tab and in HTML/JSON/PDF format.