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).
☆230Jul 25, 2024Updated last year
Alternatives and similar repositories for uncertainty_estimation_deep_learning
Users that are interested in uncertainty_estimation_deep_learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code of the paper "Interactive Learning of Temporal Feature for Control", published in the IEEE Robotics & Automation Magazine.☆12Dec 27, 2022Updated 3 years ago
- LightProbNets☆26Nov 20, 2019Updated 6 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Aug 1, 2022Updated 3 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆133Jul 25, 2024Updated last year
- Interactive Learning of Stiffness and Attractors, IROS 2021☆27May 15, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Repo to accompany the UZH FPV dataset☆51Nov 13, 2020Updated 5 years ago
- Rule-Based Lloyd (RBL) Multi-robot motion planning and control☆19Apr 28, 2025Updated last year
- Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks☆14Aug 17, 2022Updated 3 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 6 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆504Updated this week
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Feedforward implementation of Lightweight Probabilistic Deep Networks for Keras and Tensorflow☆14Jul 1, 2019Updated 6 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "PUMA: Deep Metric Imitation Learning for Stable Motion Primitives"☆17Oct 1, 2024Updated last year
- Communication is an important component in robotic systems. The application goals such as, finding a victim or teleoperate a robot in an …☆12Aug 29, 2017Updated 8 years ago
- Companion website for the article Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry☆12Sep 27, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,573Mar 24, 2026Updated 2 months ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆582Feb 26, 2022Updated 4 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆810May 14, 2026Updated 2 weeks ago
- Code developed for Robothon Challenge 2023☆14Sep 2, 2024Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆523Jan 2, 2024Updated 2 years ago
- Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)☆159Feb 17, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Anomaly Navigation - ANNA☆43Jan 14, 2020Updated 6 years ago
- ☆239May 23, 2020Updated 6 years ago
- Complementary material for the submission RAL-ICRA 2017☆36Mar 11, 2023Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Jun 26, 2020Updated 5 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆160Jul 23, 2022Updated 3 years ago
- ☆84Oct 17, 2018Updated 7 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆522Aug 31, 2021Updated 4 years ago
- This is the project page of the paper "Flow-Motion and Depth Network for Monocular Stereo and Beyond''☆129Oct 31, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆13Aug 7, 2017Updated 8 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Jan 15, 2020Updated 6 years ago
- Uncertainty in Medical Image Analysis☆317Nov 6, 2021Updated 4 years ago
- ☆41May 14, 2019Updated 7 years ago
- ☆13Jul 11, 2015Updated 10 years ago
- Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch☆358Apr 1, 2025Updated last year
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 years ago