(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”
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Updated
May 24, 2024 - Python
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”
This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.
Repository for Machine learning's semester project - Machine failure and failure type prediction using neural network.
A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
Time-Series Analysis for Complex Systems
Predicting failure of mechanical machines based of various sensor measurements and machine features/characteristics.
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
JavaScript implementation of SWIM membership protocol
Web app using the Poisson distribution to predict the number of machine failures.
Illustrating a typical Predictive Maintenance use case in an Industrial IoT Scenario. By using Statistical Modelling and Data Visualization we attempt to performance Failure Analysis and Prediction of crucial industrial equipments like Boilers, Pumps, Motors etc. so that necessary actions can be taken by the management for their repair, servicin…
A neural network approach for predicting imminent failures in a smart power grid
This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for experiment and learning purposes.
This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM
Final Year Project that is to be completed as part of the fulfillment of Computer Science Degree in NTU
Anomaly detection and failure prognosis applied to industrial machines
🎓 Cheat tools for students
Machine Learning to predict device failure
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