格式转换

Visualizer for neural network, deep learning and machine learning models

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

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

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

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

Implementation of popular deep learning networks with TensorRT network definition API

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.

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.

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

Simplify your onnx model

🚀 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

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

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

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

Machine learning on FPGAs using HLS

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 !

Add bisenetv2. My implementation of BiSeNet

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)

Deep learning gateway on Raspberry Pi and other edge devices

Tensorflow Backend for ONNX

ONNXMLTools enables conversion of models to ONNX

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

Samples and Tools for Windows ML.

Aim-bot based on AI for all FPS games

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

Jetson Nano with Ubuntu 20.04 image

Open-source, local-first video editor where creators and AI agents edit the same real timeline.

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.

ONNX Optimizer

Machine learning framework for both deep learning and traditional algorithms

Real-time anime upscaling to 4K in mpv with lightweight super-resolution models

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

Convert ONNX models to PyTorch.

A Go (golang) library wrapping microsoft/onnxruntime.