Large-scale uncertainty benchmark in deep learning.
☆67May 10, 2025Updated last year
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:
- ☆18Sep 3, 2024Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated 11 months ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31May 14, 2024Updated 2 years ago
- Laplace approximations in JAX.☆46Updated this week
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 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.
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated last year
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆25Mar 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
- ☆13Feb 12, 2024Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆27May 22, 2025Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated 10 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 7 months ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆187Nov 4, 2025Updated 7 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆82Oct 7, 2025Updated 8 months ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 3 years ago
- ☆14Mar 3, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Open-source framework for uncertainty and deep learning models in PyTorch 🌱☆508Updated this week
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 2024Updated 2 years ago
- Multi-Agent LLM Evaluation Docs: https://maseval.readthedocs.io/☆34May 31, 2026Updated 2 weeks ago
- ☆16Apr 26, 2023Updated 3 years ago
- Laplace approximations for Deep Learning.☆544Apr 22, 2025Updated last year
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆814May 14, 2026Updated last month
- ☆24May 25, 2022Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆131Aug 16, 2022Updated 3 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆144Nov 18, 2024Updated last year
- ☆18May 10, 2024Updated 2 years ago
- Automatic segmentation of electron microscopy volumes☆30Oct 23, 2012Updated 13 years ago
- Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"☆27Nov 7, 2024Updated last year
- Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling☆13May 8, 2023Updated 3 years ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago