Innovation thrives in collaborative environments that encourage the free exchange of ideas. Intel is committed to building an open ecosystem that’s transparent, secure, and accessible to all.
As a participant in the open source software community since 1989, Intel uses industry collaboration, co-engineering, and open source contributions to deliver a steady stream of code and optimizations that work across multiple platforms and use cases. We push our contributions upstream so developers get the most current and optimized software that works across multiple platforms and maintains security.
Here on GitHub, we maintain hundreds of repos featuring projects that range from demos and code samples to full-fledged products. Some of our favorites are pinned below!
Visitopen.intel.com to find out more, or follow us onX orLinkedIn!
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- cve-bin-tool
cve-bin-tool PublicThe CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 350 common, vulnerable components (openssl, libpng, libxml2, expat and others),…
- intel-extension-for-pytorch
intel-extension-for-pytorch PublicA Python package for extending the official PyTorch that can easily obtain performance on Intel platform
- neural-compressor
neural-compressor PublicSOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
Repositories
- CommsPowerManagement Public
intel/CommsPowerManagement’s past year of commit activity - trusted-ledger-config-store Public
intel/trusted-ledger-config-store’s past year of commit activity - ipu-opi-plugins Public
intel/ipu-opi-plugins’s past year of commit activity - cluster-management-toolkit Public
Toolkit for managing and monitoring Kubernetes clusters; includes a Curses-based console UI as well as a few command-line tools.
intel/cluster-management-toolkit’s past year of commit activity - ai-containers Public
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
intel/ai-containers’s past year of commit activity