Discover the Best Open-Source Onnx Projects Sorted by Stars

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

🏄 Embed/reason/rank images and sentences with CLIP models

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

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

The next-generation platform to monitor and optimize your AI costs in one place 🚀

Setup and customize deep learning environment in seconds.

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

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.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Tengine is a lite, high performance, modular inference engine for embedded device

Simple and Distributed Machine Learning

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

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

Pre-trained Deep Learning models and demos (high quality and extremely fast)

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.