ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Open source real-time translation app for Android that runs locally
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
An Engine-Agnostic Deep Learning Framework in Java
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Fast ML inference & training for ONNX models in Rust
UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.
Examples for using ONNX Runtime for machine learning inferencing.
AI Image Toolkit that runs fully in your browser — free, private, and offline-first.
支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
Generative AI with ONNX Runtime
Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.
Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
A Toolkit to Help Optimize Onnx Model
Turn your images and videos into a personal knowledge base
本地运行的开源 AI 图片/视频/音频增强工具:图片超分、AI 抠图、视频超分、视频补帧、去重、音频分离与增强(全部在本机完成)。官网与下载:https://alhpro.cn
Unbagrnd - Free, Fast & Open-source AI-powered background remover for Windows, macOS, Linux and Android.
Tarayıcıda çalışan Türkçe konuşma tanıma ve altyazı aracı. Otomatik noktalama, canlı transkript ve altyazılı video dışa aktarma. Tamamen yerel, WebGPU destekli.
Local-first translation studio for manga, manhwa, and manhua.
Cross-platform, fully-offline Vietnamese/English text-to-speech desktop workstation powered by VieNeu-TTS v3 Turbo (ONNX/CUDA, Voice Cloning, EPUB Audiobooks, PySide6/QML)
The best performing voice isolator there is. Keeps the caller's voice and removes the other voices in the room before speech-to-text hears them. Open source, streaming, runs on CPU and in the browser. pip install voxlock
ScaleDP-TS processes PDFs and images entirely in the browser: PDF rendering, text detection, OCR and named-entity recognition, composed as a pipeline. Inference runs on onnxruntime-web over WebAssembly or WebGPU.
桔子扫描专为高效办公场景打造的现代化开源智能文档扫描与处理Android应用。基于JetpackCompose + OpenCV + MLKit构建,支持AI深度学习与OpenCV双引擎边缘检测透视矫正、高精离线OCR文字识别、专业证件拼板、PDF/图像工具箱、局域网Wi-Fi直传,并配备轻量级FastAPI后端与Web管理控制台。
离线可用的本地类型化决策:4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev
CPU-friendly sidecar that OCRs paperless-ngx documents with PaddleOCR PP-OCRv6 and writes text back via the API.
WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.
a pure C# implementation of GCDRNet (Appearance Enhancement for Camera-captured Document Images in the Wild, IEEE TAI 2023) — document-image shadow removal and appearance enhancement without onnxruntime or any other third-party inference engine. It ships its own compiled-model inference engine