#Onnx
Showing 60 of 195 repositories tagged #onnx, ranked by stars
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
Unified framework for building enterprise RAG pipelines with small, specialized models
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
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
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/
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
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
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
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
《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。
Tengine is a lite, high performance, modular inference engine for embedded device
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.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
Simplify your onnx model
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
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!!
ONNX-TensorRT: TensorRT backend for ONNX
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Sparsity-aware deep learning inference runtime for CPUs
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
OpenMMLab Model Deployment Framework
QualityScaler - image/video AI upscaler app
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Fast ML inference & training for ONNX models in Rust
Turn any computer or edge device into a command center for your computer vision projects.
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Jellyfin, Navidrome, LMS, Lyrion, and Emby: no metadata or external services required.
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.
Machine learning on FPGAs using HLS
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
A primitive library for neural network
nGraph has moved to OpenVINO
Tensorflow Backend for ONNX
Neural Network Compression Framework for enhanced OpenVINO™ inference
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Samples and Tools for Windows ML.
Multi Model Server is a tool for serving neural net models for inference
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.