FabioArnez

2020_CARLA_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

AI-Safety-MindMap

AI-Safety Landscape

Arduino_Course_UPB

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Drone-VAE

CM-VAE implementation with Pytorch

GTSRB-Uncertainty

GTSRB with uncertainty estimation methods for classification tasks

MDNs-Examples

Pytorch_Training

Simple-Uncertainty-Classification-MCD

Uncertainty measurement with Monte Carlo Dropout (MCD) in a simple classification task (MNIST)

VAE-Examples

Variational Autoencoder Examples (MNIST and Fruits)

FabioArnez/Simple-Uncertainty-Classification-MCD

Uncertainty measurement with Monte Carlo Dropout (MCD) in a simple classification task (MNIST)

FabioArnez/2020_CARLA_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

FabioArnez/AI-Safety-MindMap

AI-Safety Landscape

FabioArnez/bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

FabioArnez/Drone-VAE

CM-VAE implementation with Pytorch

FabioArnez/GTSRB-Uncertainty

GTSRB with uncertainty estimation methods for classification tasks

FabioArnez/MDNs-Examples

FabioArnez/Pytorch_Training

FabioArnez/VAE-Examples

Variational Autoencoder Examples (MNIST and Fruits)

FabioArnez/Bayesian-Neural-Networks-Notes

FabioArnez/carlafox

FabioArnez/coiltraine

Training framework for conditional imitation learning

FabioArnez/deep-learning-tutorial

Deep Learning tutorial with PyTorch & PyTorch Lightning

FabioArnez/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

FabioArnez/deep_uncertainty_estimation

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, Segù, Scaramuzza. RA-L 2020).

FabioArnez/DL_vineyard_segmentation_study

FabioArnez/FabioArnez.github.io

Fabio Arnez Blog Website

FabioArnez/LearningByCheating

Driving in CARLA using waypoint prediction and two-stage imitation learning

FabioArnez/ML-From-Scratch

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.

FabioArnez/natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

FabioArnez/PapersSummary

FabioArnez/PhD-Literature-Review

PhD Literature Review: papers, thesis and more

FabioArnez/Probabilistic_Programming

FabioArnez/Python_Image_Failures

FabioArnez/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

FabioArnez/sd-maskrcnn

Code for SD Mask R-CNN Project

FabioArnez/SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

FabioArnez/tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

FabioArnez/test-conference-website

Test conference website using hugo and and hugo-conference template

FabioArnez/uncertainty_estimation_deep_learning

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, Segù, Scaramuzza. RA-L 2020).