quic / ai-hub-appsLinks
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.
☆355Updated last month
Alternatives and similar repositories for ai-hub-apps
Users that are interested in ai-hub-apps are comparing it to the libraries listed below
Sorting:
- Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) an…☆890Updated this week
- ☆177Updated 3 weeks ago
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆903Updated this week
- QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime …☆102Updated this week
- Demonstration of running a native LLM on Android device.☆217Updated this week
- LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via e…☆1,267Updated last week
- LLM inference in C/C++☆48Updated this week
- Let's use Qualcomm NPU in Android☆17Updated 11 months ago
- Fast Multimodal LLM on Mobile Devices☆1,334Updated this week
- Awesome Mobile LLMs☆290Updated last month
- Inference RWKV v5, v6 and v7 with Qualcomm AI Engine Direct SDK☆90Updated last month
- ☆41Updated 9 months ago
- Generative AI extensions for onnxruntime☆930Updated this week
- the original reference implementation of a specified llama.cpp backend for Qualcomm Hexagon NPU on Android phone, https://github.com/ggml…☆35Updated 6 months ago
- Example apps and demos using PyTorch's ExecuTorch framework☆53Updated last week
- 使用Android手机的CPU推理stable diffusion☆157Updated 2 years ago
- llama.cpp tutorial on Android phone☆143Updated 8 months ago
- A Toolkit to Help Optimize Onnx Model☆308Updated this week
- ☆340Updated 2 years ago
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆414Updated this week
- workbench for learning and practicing on-device AI technology in real scenario with online-TV on Android phone, powered by ggml(llama.cpp…☆182Updated 7 months ago
- This repository is a read-only mirror of https://gitlab.arm.com/kleidi/kleidiai☆111Updated 3 weeks ago
- Demonstration of combine YOLO and depth estimation on Android device.☆66Updated 2 months ago
- llm-export can export llm model to onnx.☆340Updated 2 months ago
- ☆728Updated this week
- 本项目是一个通过文字生成图片的项目,基于开源模型Stable Diffusion V1.5生成可以在手机的CPU和NPU上运行的模型,包括其配套的模型运行框架。☆231Updated last year
- AI Edge Quantizer: flexible post training quantization for LiteRT models.☆88Updated this week
- Low-bit LLM inference on CPU/NPU with lookup table☆907Updated 7 months ago
- [EMNLP Findings 2024] MobileQuant: Mobile-friendly Quantization for On-device Language Models☆68Updated last year
- Run Chinese MobileBert model on SNPE.☆15Updated 2 years ago