Fabio Arnez's Projects
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
AI-Safety Landscape
PyTorch implementation of "Weight Uncertainty in Neural Networks"
Simple, efficient, open-source package for Simultaneous Localization and Mapping in Python, Matlab, Java, and C++
Training framework for conditional imitation learning
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
Deep Learning tutorial with PyTorch & PyTorch Lightning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
PyTorch implementations of deep reinforcement learning algorithms and environments
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, SegΓΉ, Scaramuzza. RA-L 2020).
Reachability Analysis of Deep Neural Networks with Provable Guarantees
CM-VAE implementation with Pytorch
Personal blog
Fabio Arnez Blog Website
PX4 Autopilot Software
Provides settings for TTN gateways that receive their settings automatically on start.
A minimal opinionated theme for Hugo
GTSRB with uncertainty estimation methods for classification tasks
Latent Representation Entropy density for dsitribution shift detection UAI 2024 Paper
LaREx paper official website
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Driving in CARLA using waypoint prediction and two-stage imitation learning
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.