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- asr-llm-tts-chain Public
AX Audio SDK 是面向 AX650 板端的实时会议音频处理链路。它把 ALSA 采集、WebRTC AudioProcessing(APM)、NPU 降噪、语音活动检测(TEN-VAD)、SenseVoice 语音识别和 音频归档、Qwen3-1.7B 文本生成和 Hojo 语音合成组合成一个可部署的工程。板端主程序是原生 C++,启动时只依赖板端动态库和 模型;Python/Gradio 用于配置页面和随 `run-target.sh` 启动的运行状态页面
- QAT.Ultralytics Public
This project is built upon the official Ultralytics repository, delivering QAT quantization solutions for various Axera chip platforms. It supports YOLOv8, YOLO11 and YOLO26 models with INT quantization at 4/8/16‑bit precision, compatible with AX615, AX620E, AX637, AX650 series chips.
- ax-llm Public
Explore LLM model deployment based on AXera's AI chips, It provides OpenAI‑compatible APIs and supports AX620E, AX650 and AX637 series chips.
- awesome-docs Public
As much as possible, facilitate users' assessment of the "One-Finger Zen" feature of the AX NPU, reduce the sunk cost, and encourage everyone to do something more valuable instead of getting stuck in various beginner-level question answering.
- laya-axera Public Forked from mizorewww/laya-mlx
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
- QAT.PaddleOCR Public
This project is based on Baidu's PaddleOCR and AXERA's self-developed Tongyuan mixed-precision NPU, implementing quantization-aware training (QAT) for PaddleOCR models and efficient deployment on the NPU side.
- laya.axera Public
Laya typed-decision models for AX8850/NPU3: ONNX export, task-aware calibration, Pulsar2 build, and board validation.
- Multimodal_RAG-AX650N Public
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