Popular GitHub Repositories for Amlogic Npu

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

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Tengine is a lite, high performance, modular inference engine for embedded device

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Efficient Inference of Transformer models

Local LLM Server with NPU Acceleration

Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.

Samples code for world class Artificial Intelligence SoCs for computer vision applications.

Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU inference.

Ollama alternative for Rockchip NPU: An efficient solution for running AI and Deep learning models on Rockchip devices with optimized NPU support ( rkllm )

LLM SDK for OnnxRuntime GenAI (OGA)

Easy usage of Rockchip's NPUs found in RK3588 and similar chips

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用，支持GPU，NPU加速。

FREE TPU V3plus for FPGA is the free version of a commercial AI processor (EEP-TPU) for Deep Learning EDGE Inference

ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference

hardware design of universal NPU(CNN accelerator) for various convolution neural network

High-speed and easy-use LLM serving framework for local deployment

Streaming TTS based on Piper with optional RK3588 NPU support

InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.

Simplified AI runtime integration for mobile app development