Showing 1-20 of 24 projects
High-performance ML inferencing and training accelerator
An offline-capable speech processing library for embedded systems, supporting a wide range of languages and platforms.
Open source real-time translation app for Android that runs locally using AI models.
Silero VAD is a pre-trained enterprise-grade Voice Activity Detector library for Python.
Effortless data labeling with AI support from Segment Anything and other powerful models.
Rapid and powerful OCR toolkit for developers, supporting multiple AI frameworks like ONNX, OpenVINO, and PyTorch.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
A Dockerized FastAPI wrapper for the Kokoro-82M text-to-speech model with CPU and GPU support.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
An open-source AI-powered image and video upscaler application for developers and creatives.
A C++ library for building local AI inference platforms with support for ONNX models.
YOLOv5-Lite is a lightweight object detection model optimized for mobile and embedded devices.
An open-source Python library for building text-to-speech (TTS) applications using the Kokoro engine and ONNX runtime.
A fast and efficient ONNX model inference and training library for Rust developers working with AI.
A TypeScript library for a voice activity detector (VAD) with a simple API for the browser.
Robust real-time face and facial landmark tracking on CPU with Unity integration for virtual youtubers/VTubers.
An easy-to-use and high-performance AI deployment framework for developers
Examples for using ONNX Runtime for machine learning inferencing.
An open-source project for Windows developers to build AI-powered apps with local models and APIs.
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