- 👋 Hi, I’m @CIPARLAB
Welcome to the CIPARLABS.
This is the official repository of the CIPARLABS at the Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications (DIET). Here, you can find the code and data of the lab experiments.
Link to our website: CIPARLABS website
We are working on:
- application of Artificial Intelligence, Computational Intelligence and Pattern Recognition to various fields
- Neural Networks and evolutionary optimization
- Smart Grids and microgrids, Renewable Energy Communities, Renewable energy, Energy and Battery Management Systems and Energy forecasting
- Natural Language Processing, Large Language Models and Transformer architectures, ExplainableAI
- Computer Vision
Go to the companion CIPAR-Labs-NLP Github
repo ------> |- code folder
|- main file
|- utils folder
|- class folder
|- results
|- graphs
|- ipynb file to well represent results
|- dependencies file or folder
|- README.md
|- The aim of the project
|- Folder representation
|- dependencies libraries and files & how to install them
(Docker file, Virtual env)
|- Share a table of final result and graph
