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Template project to join s2s-ai-challenge

Website: https://s2s-ai-challenge.github.io/

Overview: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/wikis/Flow-of-information:-Where-do-I-find-what%3F

In the current repo, we present the code developed by Wenyuan for the ECON multiplex project. This code makes use of the GLFM code, and hence for getting these results, we need to run it on Python 2.7

Course in Deep Learning at HSLU

Course in Deep Learning at HSLU

A small project to share the LDA topics and their visualization with pyLDAvis

Repository for the data and notebooks of the DemocraSci project.

In this repo we collect all the functions for the preprocessing of the raw Democrasci data, i.e., the data from the Swiss parliament archives. The functions implemented here go from the opening and manipulation of these files, to the cleaning, curation, aggregation, and visualization, for all the different preprocessing steps. The final output files, one for each year, are the inputs for the functions in the repository corresponding to WP2.

All the scripts and functions required to export and create the database in Neo4J, in order to later parse on it different graphs. This repo requires results obtained in WP1 and WP21 of the Democrasci project.

A repo to playing with dynamic LDA on the data.

Repo for vegatele project with architecture department. The method chosen will try to tackle this design problem through Bayesian optimization techniques