There are 2 repositories under onnx-models topic.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
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.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
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.
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Stable Diffusion UI: Diffusers (CUDA/ONNX)
Full version of wav2lip-onnx including face alignment and face enhancement and more...
Count number of parameters / MACs / FLOPS for ONNX models.
🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
YOLOv7 to detect bone fractures on X-ray images
Convert Caffe models to ONNX.
Computer Vision And Neural Network with Xamarin
🦉Gracefully face reCAPTCHA challenge with ModelHub embedded solution.
Full-attention multi-instrumental music transformer featuring asymmetrical encoding with octo-velocity, and chords counters tokens, optimized for speed and performance
Simple and fast wav2lip using new 256x256 resolution trained onnx-converted model for inference. Easy installation
✨ A real-time voice changer application using WebSockets and ONNX/TensorFlow/PyTorch
Easy-to-use danbooru anime image classification model
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
simple and fast wav2lip using onnx models for face-detection and inference. Easy installation
Convert your ONNX models into Swift for TensorFlow or Metal Performance Shaders (WIP)
C++ Object Detection with YOLOv5 involves implementing real-time and image object detection using the YOLOv5 model in the C++ programming language, enabling identification and localization of objects in images or video streams.
Easy to install image and video colorization using onnx converted deoldify model
Babylon.cpp is a C and C++ library for grapheme to phoneme conversion and text to speech synthesis. For phonemization a ONNX runtime port of the DeepPhonemizer model is used. For speech synthesis VITS models are used. Piper models are compatible after a conversion script is run.
Convert Pytorch Model To Tensorflow
Pre-trained image models using ONNX for fast, out-of-the-box inference.
Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph
Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js
Thin plate spline motion model TPSMM converted to ONNX
Virtual ML.NET 2021 Hackathon Submission