FiammettaC
PhD student at the Technical University of Denmark (DTU), Dept. of Chemical and Biochemical Engineering. M.Sc. in IT and Cognition at KU.
Pinned Repositories
AI-for-Chemical-Engineers
This is a practical course designed for chemical engineers that want to learn the basics of AI. The course is very practical and will cover various topics, such as basic Python syntax, data visualization, machine learning and deep learning models, natural language processing, image processing and explainability.
BioVL-Library-Julia
This work aims to explore the differences between Python and Julia and to propose a detailed overview of the best-suited applications for each language. The repository includes mechanistic models in both Python and Julia.
Chemical-Reaction-Engineering-in-Python
This repository contains a practical course designed for chemical engineers that want to learn how to solve exercises and program in Python. The course will cover various topics, such as basic Python syntax, data structures, solving ODEs, stoichiometry, data visualization and basic data analysis.
Data-Science-for-Chemical-Engineers
This is a practical course designed for chemical engineers that want to learn how to program in Python. The course is very practical and will cover various topics, such as basic Python syntax, data analysis, machine learning and image processing.
DeepLearning
DT-sandbox
FermentAI
This work presents an initial investigation and implementation of how LLMs can be used to automate educational processes. We implemented FermentAI, a VT for answering students’ questions to deepen their knowledge about fermentation processes. This aims to provide students with an open-access interactive tool that is trained on curated data.
Learning-through-different-Modalities-Cognitive-Science-Experiment
Experiment run in spring 2017
Predicting-Concrete-and-Abstract-Entities-in-Modern-Poetry
SocialGraphs2017
Documents needed to run the code for Social Graphs and Interactions 2017
FiammettaC's Repositories
FiammettaC/Chemical-Reaction-Engineering-in-Python
This repository contains a practical course designed for chemical engineers that want to learn how to solve exercises and program in Python. The course will cover various topics, such as basic Python syntax, data structures, solving ODEs, stoichiometry, data visualization and basic data analysis.
FiammettaC/AI-for-Chemical-Engineers
This is a practical course designed for chemical engineers that want to learn the basics of AI. The course is very practical and will cover various topics, such as basic Python syntax, data visualization, machine learning and deep learning models, natural language processing, image processing and explainability.
FiammettaC/BioVL-Library-Julia
This work aims to explore the differences between Python and Julia and to propose a detailed overview of the best-suited applications for each language. The repository includes mechanistic models in both Python and Julia.
FiammettaC/FermentAI
This work presents an initial investigation and implementation of how LLMs can be used to automate educational processes. We implemented FermentAI, a VT for answering students’ questions to deepen their knowledge about fermentation processes. This aims to provide students with an open-access interactive tool that is trained on curated data.
FiammettaC/Data-Science-for-Chemical-Engineers
This is a practical course designed for chemical engineers that want to learn how to program in Python. The course is very practical and will cover various topics, such as basic Python syntax, data analysis, machine learning and image processing.
FiammettaC/DeepLearning
FiammettaC/DT-sandbox
FiammettaC/Learning-through-different-Modalities-Cognitive-Science-Experiment
Experiment run in spring 2017
FiammettaC/Predicting-Concrete-and-Abstract-Entities-in-Modern-Poetry
FiammettaC/SocialGraphs2017
Documents needed to run the code for Social Graphs and Interactions 2017
FiammettaC/test_chatbot
FiammettaC/To-be-fAIr
FiammettaC/vt-test