Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
☆18Mar 21, 2024Updated 2 years ago
Alternatives and similar repositories for regression_uncertainty
Users that are interested in regression_uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Apr 4, 2025Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 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
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- ☆17Sep 3, 2024Updated last year
- Contains tools for generalized Procrustes analysis, active shape models and shape-based image warping☆10Jun 28, 2014Updated 11 years ago
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Code for the paper "Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning"☆16Jul 4, 2022Updated 3 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 5 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Aug 21, 2025Updated 7 months ago
- ☆23Jan 25, 2024Updated 2 years ago
- ☆18Oct 17, 2023Updated 2 years ago
- ☆11Jun 27, 2017Updated 8 years ago
- This is the repository for Fair Universe Uncertainty Challenge☆14Oct 30, 2025Updated 5 months ago
- Proportional Amplitude Spectrum Training Augmentation for Synthetic to Real Domain Generalization☆22Mar 11, 2024Updated 2 years ago
- ☆10Sep 14, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.☆59Jun 21, 2021Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆12Aug 12, 2021Updated 4 years ago
- ☆11Nov 19, 2025Updated 4 months ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆17Dec 15, 2023Updated 2 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆45Apr 29, 2023Updated 2 years ago
- Code for BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation☆17Nov 28, 2021Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆16Jun 27, 2025Updated 9 months ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆50Mar 31, 2022Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- ☆10Mar 14, 2021Updated 5 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆14Feb 24, 2023Updated 3 years ago
- 🍀 Official pytorch implementation of "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation. Wu et al. ECCV 20…☆25Feb 2, 2023Updated 3 years ago
- The code of "Deep Regression Representation Learning with Topology" in ICML 2024☆14Jul 4, 2024Updated last year