12 Weeks, 24 Lessons, AI for All!

Automatic extraction of relevant features from time series:

Playing Pokemon Red with Reinforcement Learning

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

A python library for decision tree visualization and model interpretation.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

🌮 Trash Annotations in Context Dataset Toolkit

To contain example scripts for different tools.

Repository of educational examples using ns-3

University Projects, Sapienza University of Rome