294 Open source projects that are alternatives of or similar to MXNet-YOLO

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Convolutional Neural Networks

Gluon to PyTorch deep neural network model converter

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

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.

YOLOv2 algorithm reimplementation with pytorch

YOLOv2 in PyTorch

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Convert https://pjreddie.com/darknet/yolo/ into pytorch

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

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

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

Gluon to PyTorch deep neural network model converter

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Face recognition using facenet

baidu contest, url: http://dianshi.baidu.com/gemstone/competitions/detail?raceId=17

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux

关注AI模型上线、模型部署

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

CCFDF rebar detection

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

The MXNet Implementation of Enhanced SSH (ESSH) for Face Detection and Alignment

.NET wrapper for Apache MXNet written in C#

Go bindings for Darknet (YOLO v4 / v3)

Conversion of yolo from DarkNet to Caffe

Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.

데이터 분석 모델링용 도커 이미지

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

A Gluon Implement of EfficientNet

MXNet OCR implementation. Including text recognition and detection.

Code for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet

BiLSTM_CRF中文实体命名识别

Programmatically find and read labels using Machine Learning

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet

Official implementation of "Explicit Interaction Model towards Text Classification"

explore apache mxnet from the terminal / REPL

Marking up images for use with Darknet.

Good info about DeepWeb and OSINT

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Functions and classes for gradient-based robot motion planning, written in Ivy.

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

💡 A flexible tool for building and sharing deep learning modules.

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Fast parallel RNN-Transducer.

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

基于 mxnet, 实现 ssd demo for android

Some deep learning models written with mxnet and C++11.

ODAM - Object detection and Monitoring

Machine Learning Operator & Controller for Kubernetes

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2

Character Embeddings Recurrent Neural Network Text Generation Models

CNN model inference benchmarks for some popular deep learning frameworks

A MXNet implementation of Baidu's DeepSpeech architecture

MXNet implementation of CapsNet