airockchip

rknn-toolkit2. C

rknn_model_zoo. C

rknn-llm. Python

librga. C

ultralytics_yolov8. NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5. YOLOv5 in PyTorch > ONNX > CoreML > TFLite

ultralytics_yolo11. Python

rknn3-model-zoo. C

RK3399Pro_npu. C++

rknn3-toolkit. Python

rknpu_ddk. DDK for Rockchip NPU

rknn-toolkit. Python

clawchips. Python

yolov7. Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

rknpu. C

rknpu2. C

yolov10. YOLOv10: Real-Time End-to-End Object Detection

lite-transformer. [ICLR 2020] Lite Transformer with Long-Short Range Attention

YOLOv6. YOLOv6: a single-stage object detection framework dedicated to industrial applications.

YOLO-World. [CVPR 2024] Real-Time Open-Vocabulary Object Detection

gcc-buildroot-9.3.0-2020.03-x86_64_aarch64-rockchip-linux-gnu. Python

YOLOX. YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

MobileSAM. This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Paddle-Lite. Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）

netron. Visualizer for neural network, deep learning, and machine learning models

TNN. TNN：由腾讯优图实验室打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

onnx.github.io. HTML

onnxruntime. ONNX Runtime: cross-platform, high performance scoring engine for ML models