The Wayback Machine - https://web.archive.org/web/20220408224241/https://github.com/topics/uncertainty
Here are
239 public repositories
matching this topic...
Time series forecasting with PyTorch
Updated
Apr 7, 2022
Python
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Updated
Jan 17, 2022
Python
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Updated
Apr 1, 2022
Python
Visualizations of distributions and uncertainty
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Updated
Mar 1, 2022
Python
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
Updated
Aug 8, 2019
Python
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Updated
Apr 29, 2021
Python
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Updated
Aug 31, 2021
Python
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Updated
Mar 29, 2021
Jupyter Notebook
The DESPOT online POMDP solver
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Updated
Dec 19, 2019
Python
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Updated
Aug 3, 2021
Python
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Updated
Jan 19, 2022
Python
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Updated
Nov 8, 2021
Python
Implementation and evaluation of different approaches to get uncertainty in neural networks
Updated
Feb 16, 2018
Jupyter Notebook
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
Updated
Aug 23, 2021
Python
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
Updated
Jan 15, 2018
Python
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
Updated
Aug 19, 2021
Python
Bayesian dessert for Lasagne
Updated
Jun 25, 2017
Python
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Updated
Jan 7, 2021
Python
[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Updated
Mar 1, 2022
Python
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Updated
Mar 29, 2022
Python
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
Updated
Nov 19, 2021
Python
Updated
Mar 12, 2022
Jupyter Notebook
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Updated
Jul 27, 2021
Python
Updated
Jun 1, 2021
Jupyter Notebook
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Updated
Jul 29, 2021
Python
Improve this page
Add a description, image, and links to the
uncertainty
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
uncertainty
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
Hi @JavierAntoran @stratisMarkou,
First of all, thanks for making all of this code available - it's been great to look through!
Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac