6DoF Head tracking software

Python scripts for the Segment Anythin 2 (SAM2) model in ONNX

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

A model compilation solution for various hardware

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

Open Neural Network Exchange to C compiler.

A Rust library for detecting NSFW images using a neural network

Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

QualityScaler - image/video AI upscaler app

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ONNX Model Exporter for PaddlePaddle

onnx to mlpack converter (Under construction)

Java version of LangChain

ArtDetectiveAI is an AI model trained on a Jetson Nano that specializes in detecting whether art is AI created or human created.

Web AI

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.

Scoreboard for ONNX Backend Compatibility