ncnn is a high-performance neural network inference framework optimized for the mobile platform

GUI for upscaling ESRGAN ONNX models with NVIDIA TensorRT and Vapoursynth

带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Object classification and detection SDK.

Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)

YoloV4 on a bare Raspberry Pi 4 with ncnn framework

YoloFastestV2 for a bare Raspberry Pi 4

YoloX for a bare Raspberry Pi 4 using ncnn.

YoloV9 for a bare Raspberry Pi 4/5

YoloV8 for a bare Raspberry Pi 4

YoloV7 for a bare Raspberry Pi using ncnn.

YoloV6 for a bare Raspberry Pi using ncnn.

YoloV5 for a bare Raspberry Pi 4

2^x Image Super-Resolution

Machine vision apps

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

The Upscayl backend powered by the NCNN framework and Real-ESRGAN architecture.

Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥