gmnandan Goto Github PK

awesome-image-classification

A curated list of deep learning image classification papers and codes

chillers-predictive-maintenance

Code used for predicting when industrial chillers will encounter errors

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

device-failure-prediction

Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.

falldetection_openpifpaf

Fall Detection using OpenPifPaf's Human Pose Estimation model

fault-detection-for-predictive-maintenance-in-industry-4.0

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

ieee-etfa2020-paper

Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data

inventory-optimization-algorithms

Algorithms Library for Supply Chain Inventory Optimization

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

lumen-data-science-2020-predictive-maintenance

machine_failure

motor-defect-detector-python

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

nandan

paint-shop-optimization

Solve the multi-car paint shop optimization problem using the LeapHybridCQMSampler.

predictive-maintenance

Predictive Maintenance of railway machines from the data obtained from their sensors.

predictive-maintenance-1

This example illustrates the importance of customized feature selection in predictive maintenance use cases

predictive-maintenance-2

Predicting Failures of 1000 Machines

predictive-maintenance-3

Predictive Maintanence Project For Failure Prediction

predictive_maintenance_using_machine-learning_microsoft_casestudy

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

project_2

Predictive Maintenance - Multi-labels classification

sound-anomaly-detection-for-manufacturing

This repository contains a sample on how to perform anomaly detection on machine sounds (based on the MIMII Dataset) leveraging several approaches.

speed-estimation-of-vehicles-with-plate-detection

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.

streamlit

Streamlitr repo