There are 2 repositories under onnx-models topic.
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.
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)
Convert Caffe models to ONNX.
Computer Vision And Neural Network with Xamarin
✨ A real-time voice changer application using WebSockets and ONNX/TensorFlow/PyTorch
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.
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.
奶龙检测 NailongDetection:检测图片中的奶龙、动漫风格人物、龙图和黄桃罐头等目标。
Pre-trained image models using ONNX for fast, out-of-the-box inference.
Easy-to-use danbooru anime image classification model
simple and fast wav2lip using onnx models for face-detection and inference. Easy installation
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 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
AI suite with Real-ESRGAN, GFPGAN & RIFE. Upscaling, face restoration, frame interpolation, denoising, batch processing & GPU acceleration in one tool.
Flutter demo app for Arabic TTS with ONNX models
Convert Pytorch Model To Tensorflow
Python scripts performing object detection using the YOLOv11 model in ONNX.
Template Project For iOS Apps using .onnx Speech Models for Speech Diarization
Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js