Pre-trained Deep Learning models and demos (high quality and extremely fast)

基于PaddleOCR重构，并且脱离PaddlePaddle深度学习训练框架的轻量级OCR，推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.

Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.

Run PyTorch models in the browser using ONNX.js

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.

ONNX runtime for Flutter.

Suite for Windows with Real-ESRGAN, RealESRNet, RealESRAnime, BSRGAN , IRCNN, GFPGAN & RIFE. Upscaling, face restoration, frame interpolation, denoising, batch processing & GPU acceleration in one tool.

Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

Full version of wav2lip-onnx including face alignment and face enhancement and more...

Stable Diffusion UI: Diffusers (CUDA/ONNX)

Count number of parameters / MACs / FLOPS for ONNX models.

Pre-trained image models using ONNX for fast, out-of-the-box inference.

Use safetensors with ONNX 🤗

YOLOv7 to detect bone fractures on X-ray images

🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)

Convert Caffe models to ONNX.

✨ A real-time voice changer application using RVC, WebSockets and ONNX/TensorFlow/PyTorch

Computer Vision And Neural Network with Xamarin

Simple and fast wav2lip using new 256x256 resolution trained onnx-converted model for inference. Easy installation