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"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programm…
A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeatherGen
Autoencoder-enhanced Joint Input-Output Dimensionality Reduction for Constrained Bayesian Optimisation
NeurOptimiser is a neuromorphic optimisation framework in which metaheuristic search emerges from asynchronous spiking dynamics.
CEA computes the equilibrium composition of mixtures via free-energy minimization, and uses the resulting product concentrations to determine thermodynamic and transport properties. It includes a l…
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Time-explicit Life Cycle Assessment
Supplementary material for the article "A graph-structured distance for heterogeneous datasets with meta variables"
A workshop on writing good scientific/research code: reproducible, re-traceable, readable, extendable, and well-documented.
Repository including data and code to reproduce meta LCA for CCU mineralization technologies
Python Laboratory for Finite Element Analysis
Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
"Deep Generative Modeling": Introductory Examples
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
A Python-embedded modeling language for convex optimization problems.
Open source experimental modal analysis software.
Materials for my FISA course on Vibration and Finite Element Analysis (VFEA)
Command line tools for creating models of composite wind turbine blades