This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
☆157Jul 23, 2022Updated 3 years ago
Alternatives and similar repositories for Predictive-Uncertainty-Estimation-using-Deep-Ensemble
Users that are interested in Predictive-Uncertainty-Estimation-using-Deep-Ensemble are comparing it to the libraries listed below
Sorting:
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆140Jan 15, 2018Updated 8 years ago
- ☆239May 23, 2020Updated 5 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Dec 18, 2016Updated 9 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Feb 1, 2023Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆15Mar 5, 2022Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆480Updated this week
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,567Feb 2, 2026Updated last month
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,957Oct 20, 2023Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆513Jan 2, 2024Updated 2 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Jun 1, 2021Updated 4 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- This repo is using imitating learning to optimize portfolio. The code was derived from https://github.com/vermouth1992/drl-portfolio-mana…☆11May 16, 2019Updated 6 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆640Aug 1, 2022Updated 3 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 3 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆786Dec 5, 2025Updated 3 months ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,977Mar 5, 2025Updated last year
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as des…☆230Jul 25, 2024Updated last year
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 8 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Dec 20, 2019Updated 6 years ago
- model uncertainty using mc dropout☆20Mar 1, 2019Updated 7 years ago
- Deep Bayesian Active Semi-Supervised Learning☆11Mar 1, 2018Updated 8 years ago
- ☆35Aug 6, 2023Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆358Jun 30, 2017Updated 8 years ago
- Learning error bars for neural network predictions☆72Jan 9, 2020Updated 6 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Jun 15, 2022Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- ☆10May 9, 2019Updated 6 years ago
- ☆13Oct 7, 2024Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- ☆25May 14, 2019Updated 6 years ago
- ☆110Jun 29, 2021Updated 4 years ago
- 2nd place solution of ECCV 2020 workshop VIPriors Image Classification Challenge, https://arxiv.org/abs/2008.00261☆13Aug 22, 2021Updated 4 years ago
- Tools for robustness evaluation in interpretability methods☆11Jun 25, 2021Updated 4 years ago
- ☆12Jun 23, 2016Updated 9 years ago