540 Open source projects that are alternatives of or similar to mtomo

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

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

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

PyTorch to Keras model convertor

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

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 purpose of this project is to apply mediapipe to more AI chips.

The collaboration workspace for Machine Learning

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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... 🐋🔥

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

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

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

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tensorrt int8 量化yolov5 onnx模型

⚡ Open-source software for deep learning-based digital pathology

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

Gluon to PyTorch deep neural network model converter

YOLOv4 Implemented in Tensorflow 2.

Setup and customize deep learning environment in seconds.

关注AI模型上线、模型部署

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

Gluon to PyTorch deep neural network model converter

A collection of computer vision pre-trained models.

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

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.

A fast stacked hourglass network for human pose estimation on OpenVino

Open standard for machine learning interoperability

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

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

A ROS package to wrap openvino inference engine and get it working with Myriad and GPU

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

PyTorch Project Specification.

Wrapper package for OpenCV with Inference Engine python bindings.

TensorRT person tracking RFBNet300

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

arcface and retinaface model convert mxnet to onnx.

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]

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

Deep learning gateway on Raspberry Pi and other edge devices

nGraph has moved to OpenVINO

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

crnn in mxnet.can train with chinese characters

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

This is machine learning model that is trained to predict next word in the sequence. Model is defined in keras and then converted to tensorflow-js model for the web, check the web implementation at

YOLOv4 object detector using TensorRT engine

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

用c++实现了yolov5使用openvino的部署

Code for the workshop in BOUN Tech Summit (03.03.2019)

「PyTorch Implementation of AnimeGANv2」のPythonでのONNX推論サンプル

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

Kaggle 120种狗分类，Gluon实现