Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources
-
Updated
Nov 10, 2024 - Python
Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Uncertainty treatment library
A Python(nic) Implementation of EMF/Ecore (Eclipse Modeling Framework)
A Python-based low-modeling low-code platform for smart software
This repository contains the entire code for the .NET Modeling Framework
Link Modeling Language (LinkML) model
Metaprogramming examples
A modular code for teaching Surrogate Modeling-Based Optimization
MDEForge is an extensible modeling framework specifically conceived to support for discovery and reuse of existing modeling artefacts. MDEForge consists of a set of core services that permit to store and manage typical modeling artefacts and tools. Atop of such services it is possible to develop extensions adding new functionalities to the platf…
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Ecore metamodel reverse engineering: Automatically extract EMF metamodels from Java code.
QMaxUSE: A query-based verification tool for verifying UML class diagrams with extreme size of OCL invariants.
Add a description, image, and links to the metamodel topic page so that developers can more easily learn about it.
To associate your repository with the metamodel topic, visit your repo's landing page and select "manage topics."