Image Defect Detection Model Collection
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
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List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
Machine Learning and Deep Learning models to detect anomalies using time series data.
Model able to generate a production plan for a week given a set of orders that minimizes the monetary loss .
It is a service for defect detection and defect localization in hard metal industry
EurekAD is a service for anomaly detection in Industrial time series data.
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
SPIRE client provides multiple helper functions to allow communication with the SPIRE server and manipulation of ROS bagfiles and topics
Datasets provided are used to train ML models for forecasting electricity production on hourly basis. Developed by Vodena doo for the GRIDouble project, part of the I-NERGY 2nd Open Call.
GRIDouble is a comprehensive energy management tool that completely automates the finding of optimal patterns in energy consumption and production in the case of facilities with renewable energy sources.
The dataset provides energy consumption readings from a specific device, identified by UUID. The data captures detailed information, including the exact timestamp of the reading, energy consumed, and voltage, among other parameters. All readings are taken...