onnx-models

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

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.

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.

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)

Use safetensors with ONNX 🤗

Convert Caffe models to ONNX.

Computer Vision And Neural Network with Xamarin

Full-attention multi-instrumental music transformer featuring asymmetrical encoding with octo-velocity, and chords counters tokens, optimized for speed and performance

🦉Gracefully face reCAPTCHA challenge with ModelHub embedded solution.

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

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

Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.