The Wayback Machine - https://web.archive.org/web/20210731230122/https://github.com/topics/uncertainty
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198 public repositories
matching this topic...
Time series forecasting with PyTorch
Updated
Jul 29, 2021
Python
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Updated
Jul 31, 2021
Python
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
Updated
Jul 26, 2021
Python
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Updated
Jul 27, 2021
Python
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
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Aug 8, 2019
Python
Visualizations of distributions and uncertainty
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Updated
Jul 20, 2021
Jupyter Notebook
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
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Apr 29, 2021
Python
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
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Mar 29, 2021
Jupyter Notebook
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Updated
Jul 27, 2021
Python
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
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Dec 19, 2019
Python
The DESPOT online POMDP solver
Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"
Updated
Apr 27, 2021
Python
Implementation and evaluation of different approaches to get uncertainty in neural networks
Updated
Feb 16, 2018
Jupyter Notebook
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
Updated
Jan 15, 2018
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
Jul 29, 2021
Python
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Updated
Jun 2, 2021
Python
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
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Jun 22, 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
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Updated
May 15, 2019
Python
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
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Jul 5, 2021
Python
[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Updated
Jun 8, 2021
Python
Updated
Jun 1, 2021
Jupyter Notebook
A Ranked Programming Extension for Racket
Updated
Jul 10, 2020
HTML
Updated
Jun 8, 2021
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
May 6, 2021
Python
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
Updated
Sep 1, 2018
Jupyter Notebook
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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