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Code for "Dialogue Evaluation with Offline Reinforcement Learning" paper
Public codebase for "LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization" published in COLING 2020.
Skript zur Vorlesung Data Science im Informatik Bachelor an der HHU
Prune a metabolic model (remove redundant reactions). Based on Network Reducer (Erdrich et al. 2015).
This repository deals with the data exploration of the data contained in D-BAS.
This is a short example for requesting data with neo4j-driver in a node.js project.
Reduce a metabolic network (SBML fbc coded model) as per Network Reducer method implemented in MATLAB tool CellNetAnalzyser.
A Java-based Jupyter kernel for ProB 2
ProB Modelling Examples as Jupyter Notebooks.
The ProB Model Checker and Animator Plugin for Rodin