128 Open source projects that are alternatives of or similar to Onnxruntime Projects

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

TensorRT person tracking RFBNet300

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

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

Machine learning framework for both deep learning and traditional algorithms

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

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

A GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web

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

PyTorch ,ONNX and TensorRT implementation of YOLOv4

人工智障本地图片检索工具 | An EfficientNet based image retrieval tool

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]

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Tensorflow Backend for ONNX

Exposes a serialized machine learning model through a HTTP API.

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

This repository contains a docker image that I use to develop my artificial intelligence applications in an uncomplicated fashion. Python, TensorFlow, PyTorch, ONNX, Keras, OpenCV, TensorRT, Numpy, Jupyter notebook... 🐋🔥

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.

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

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.

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

Setup and customize deep learning environment in seconds.

YOLOv5 in PyTorch > ONNX > RKNN

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

Convert tf.keras/Keras models to ONNX

Simple and Distributed Machine Learning

Samples and Tools for Windows ML.

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Run PyTorch models in the browser using ONNX.js

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.

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

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).

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

ONNXMLTools enables conversion of models to ONNX

Open Source Compiler Framework using ONNX as Frontend and IR

Convert TensorFlow models to ONNX

关注AI模型上线、模型部署

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

PyTorch to Keras model convertor

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

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

This repo is implemented based on detectron2 and centernet

How to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO

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

A fast stacked hourglass network for human pose estimation on OpenVino

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

Powerful computer vision assisted Lego mosaic creator · Over 500,000 images created (so far!)

R Interface to Open Neural Network Exchange (ONNX)

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

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

Poplar Advanced Runtime for the IPU

Translate - a PyTorch Language Library

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

Gluon to PyTorch deep neural network model converter

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

ML.NET Workshop to predict car sales prices

PyTorch to Keras model convertor

pytorch to caffe by onnx