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

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.

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.

Use safetensors with ONNX 🤗

🦉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

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.

Easy to install image and video colorization using onnx converted deoldify model

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

A Simple and Fast Rest API for productionization the ONNX models