Top 128 onnx open source projects

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

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

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Convert scikit-learn models and pipelines to ONNX

Visualizer for neural network, deep learning, and machine learning models

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

php wrapper for opencv

PaddlePaddle to ONNX model converter

MobileNetV3-SSD for object detection and implementation in PyTorch

Kaldi model converter to ONNX

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

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

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Pure C# machine learning framework

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

Open standard for machine learning interoperability

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Yet another yolov5, with its runtime stack for libtorch, onnx, tvm and specialized accelerators. You like torchvision's retinanet? You like yolov5? You love yolort!

Convert ONNX model graph to Keras model format.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.

ONNX-TensorRT: TensorRT backend for ONNX

nGraph has moved to OpenVINO

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Add-on package for ONNX format support in Chainer

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Code for some onnxruntime projects

Gluon to PyTorch deep neural network model converter

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

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.

R Interface to Open Neural Network Exchange (ONNX)

ML.NET Workshop to predict car sales prices

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Tensorflow Backend for ONNX

Convert TensorFlow models to ONNX

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

Multi Model Server is a tool for serving neural net models for inference

Setup and customize deep learning environment in seconds.

Translate - a PyTorch Language Library

PyTorch to Keras model convertor

Samples and Tools for Windows ML.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

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.

Machine learning framework for both deep learning and traditional algorithms

ONNXMLTools enables conversion of models to ONNX

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

PyTorch implementation of the YOLO (You Only Look Once) v2

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

This repo is implemented based on detectron2 and centernet

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

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

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

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