Large-scale uncertainty benchmark in deep learning.
☆64May 10, 2025Updated 11 months ago
Alternatives and similar repositories for untangle
Users that are interested in untangle are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Sep 3, 2024Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated 9 months ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31May 14, 2024Updated last year
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Laplace approximations in JAX.☆44Mar 25, 2026Updated 3 weeks ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images☆17Oct 13, 2025Updated 6 months ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆23Mar 21, 2025Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- ☆11Apr 4, 2025Updated last year
- ☆35Aug 4, 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
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆32Apr 27, 2021Updated 4 years ago
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 5 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆184Nov 4, 2025Updated 5 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆80Oct 7, 2025Updated 6 months ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆53Oct 6, 2023Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆45Apr 29, 2023Updated 2 years ago
- ☆14Mar 3, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆485Apr 8, 2026Updated last week
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Mar 21, 2024Updated 2 years ago
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆12Apr 8, 2026Updated last week
- Active attention in classification networks that is optimised at the time of model training.☆11Nov 9, 2018Updated 7 years ago
- Multi-Agent LLM Evaluation Docs: https://maseval.readthedocs.io/☆30Updated this week
- ☆16Apr 26, 2023Updated 2 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆11Jan 22, 2024Updated 2 years ago
- Laplace approximations for Deep Learning.☆538Apr 22, 2025Updated 11 months ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- 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.
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆795Apr 7, 2026Updated last week
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆43Nov 18, 2024Updated last year
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Aug 16, 2022Updated 3 years ago
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆15Nov 4, 2024Updated last year
- Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"☆24Nov 7, 2024Updated last year
- Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling☆12May 8, 2023Updated 2 years ago