High-quality implementations of standard and SOTA methods on a variety of tasks.
☆1,598Sep 29, 2026Updated last week
Alternatives and similar repositories for uncertainty-baselines
Users that are interested in uncertainty-baselines are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆473Updated this week
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- A simple probabilistic programming language.☆711Updated this week
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,018Mar 5, 2025Updated last year
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 3 years ago
- ☆109Jun 29, 2021Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,975Oct 20, 2023Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆477Jul 6, 2023Updated 3 years ago
- A simple way to calibrate your neural network.☆1,178Jul 26, 2025Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆824Aug 19, 2026Updated last month
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆528Aug 31, 2021Updated 5 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.
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- A Library for Uncertainty Quantification.☆928Apr 23, 2025Updated last year
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆53Jul 25, 2021Updated 5 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆530Sep 1, 2026Updated last month
- ☆239May 23, 2020Updated 6 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆259Jan 23, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆550Updated this week
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆155Nov 10, 2022Updated 3 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.
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,575Apr 19, 2024Updated 2 years ago
- ☆256Dec 27, 2022Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Oct 3, 2023Updated 3 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆986Sep 25, 2023Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,385Mar 1, 2024Updated 2 years ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,099Nov 14, 2025Updated 10 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆379Apr 16, 2026Updated 5 months ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆44Apr 14, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆19Jan 5, 2026Updated 9 months ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Jan 10, 2024Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆602Jan 26, 2024Updated 2 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆141Jan 15, 2018Updated 8 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,177Aug 24, 2022Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 6 years ago