fabioarnez Goto Github PK

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"

bayesian-neural-networks-notes

breezyslam

Simple, efficient, open-source package for Simultaneous Localization and Mapping in Python, Matlab, Java, and C++

carlafox

coiltraine

Training framework for conditional imitation learning

concretedropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

deep-learning-tutorial

Deep Learning tutorial with PyTorch & PyTorch Lightning

deep-learning-v2-pytorch

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

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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).

deepgo

Reachability Analysis of Deep Neural Networks with Provable Guarantees

dl_vineyard_segmentation_study

drone-vae

CM-VAE implementation with Pytorch

fabioarnez.github.io

Fabio Arnez Blog Website

fhnw-ime-mse

firmware

PX4 Autopilot Software

gateway-remote-config

Provides settings for TTN gateways that receive their settings automatically on start.

gtsrb-uncertainty

GTSRB with uncertainty estimation methods for classification tasks

kinetis_projects

learning-to-drive-in-5-minutes

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

learningbycheating

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

mdns-examples

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.

natural-posterior-network

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

paperssummary

phd-literature-review

PhD Literature Review: papers, thesis and more

plantvillage-dataset

Dataset of diseased plant leaf images and corresponding labels