A curated list of awesome self-supervised methods

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

a machine learning tool that allows to train, test and use models without writing code

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

The deep residual shrinkage network is a variant of deep residual networks.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

A caffe implementation of MobileNet-YOLO detection network

OpenCV - 3rdparty

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensit…

various of fire pictures and videos in the repository

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.

Crowd Counting Via Scale-adaptive Convolutional Neural Network

Keep an Eye on Defects Inspection.

CNN for mechanical fault diagnosis

基于深度学习机械设备故障诊断模型

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"