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.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN 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
Stable Diffusion UI: Diffusers (CUDA/ONNX)
Count number of parameters / MACs / FLOPS for ONNX models.
Full version of wav2lip-onnx including face alignment and face enhancement and more...
🏗 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
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
Convert your ONNX models into Swift for TensorFlow or Metal Performance Shaders (WIP)
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