标签：ONNX

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Visualizer for neural network, deep learning and machine learning models

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

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

Open standard for machine learning interoperability

Fast and accurate AI powered file content types detection

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

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

Unified framework for building enterprise RAG pipelines with small, specialized models

Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Open source real-time translation app for Android that runs locally

A collection of pre-trained, state-of-the-art models in the ONNX format

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.

Setup and customize deep learning environment in seconds.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

An autonomous, context-aware AI desktop companion. Built with Python, featuring real-time screen vision, custom ONNX voice synthesis, active window tracking, and a dynamic floating UI with reactive facial expressions.

An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

A 100M-parameter multilingual TTS model for real-time CPU inference, voice cloning, and 48 kHz stereo generation

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.

Simplify your onnx model

State of the Art Natural Language Processing

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

ONNX-TensorRT: TensorRT backend for ONNX

QualityScaler - image/video AI upscaler app

Sparsity-aware deep learning inference runtime for CPUs

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.

Local AI API Platform

Fast ML inference & training for ONNX models in Rust

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Turn any computer or edge device into a command center for your computer vision projects.

Machine learning on FPGAs using HLS

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Robust realtime face and facial landmark tracking on CPU with Unity integration

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

YOLOv8 using TensorRT accelerate !

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.