Intel Corporation
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- Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
- 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
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Public- Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs"
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
- Collection of Intel device plugins for Kubernetes
- 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.