Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
☆275Mar 17, 2022Updated 4 years ago
Alternatives and similar repositories for deterministic-uncertainty-quantification
Users that are interested in deterministic-uncertainty-quantification 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 for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,584Jul 9, 2026Updated 2 weeks ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆480Jul 6, 2023Updated 3 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,965Oct 20, 2023Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆583Feb 26, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Learning error bars for neural network predictions☆75Jan 9, 2020Updated 6 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated 2 years ago
- ☆257Dec 27, 2022Updated 3 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,003Mar 5, 2025Updated last year
- ☆110Jun 29, 2021Updated 5 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- ☆15Nov 23, 2023Updated 2 years ago
- ☆239May 23, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆175Jun 27, 2019Updated 7 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆52Dec 14, 2022Updated 3 years ago
- ☆41May 14, 2019Updated 7 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆823Jun 24, 2026Updated 3 weeks ago
- Active and Sample-Efficient Model Evaluation☆27May 22, 2025Updated last year
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆526Aug 31, 2021Updated 4 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆95Oct 3, 2023Updated 2 years ago
- ☆10Sep 14, 2022Updated 3 years ago
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆475Jul 7, 2026Updated 2 weeks ago
- ☆439Aug 28, 2021Updated 4 years ago
- A simple way to calibrate your neural network.☆1,173Jul 26, 2025Updated 11 months ago
- ☆68Dec 20, 2019Updated 6 years ago
- ☆18Dec 4, 2021Updated 4 years ago
- ☆47Dec 20, 2020Updated 5 years ago
- ☆18Oct 17, 2023Updated 2 years ago