Qualcomm Innovation Center, Inc.
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- This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AI 100 accelerators.
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
- The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
- 🔍 ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!
- Buildroot, making embedded Linux easy. Note that this is not the official repository, but only a mirror. The official Git repository is at https://gitlab.com/buildroot.org/buildroot/. Do not open issues or file pull requests here.
- Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
- Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object Detection, Natural Language Processing and Generative AI models.
- The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
mink-idl-compiler
Public- Platform Documentation - a collection of documentations (user guides) for startup-kits published on QDN (https://developer.qualcomm.com/hardware/startup-kits)