Deep Micro-Dictionary Learning and Coding Network
In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers.
In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers.
A new loss function for self-supervised representation learning, which is based on the whitening of the latent space features.
The objective of the AI4IoT pilot has been to explore the use of AI on air quality data captured by IoT devices in order to improve data collection and quality, real-time visualisation and prediction & decision support.
This is a 30 hour introductory course taught to fourth year engineering students at the ENSIMAG school of Informatics and Applied Mathematics at Grenoble Polytechnique Institut, Univ Grenoble Alpes.
Course notes and Zoom lecture recording of a 4 hour tutorial on machine learning with Neural Networks presented at the Advanced Course on Artificial Intelligence, ACAI 2021, in October 2021.
An algorithm to rectify NDVI measurements from sentinel 2 images.
A docker container to get the quality and yield predictions for the AI4AEU agriculture pilot
The Relational Neural Machines framework is a generakl neuro-symbolic methodology to inject logic knowledge into a machine learner.
A tutorial on the Moving Targets algorithm for constrained Machine Learning
A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language.
A tutorial series from the AI in the Industry course from University of Bologna. This part covers anomaly detection via density estimation.