AnthonyRentsch / calibrated_regressionView external linksLinks
A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
☆52Dec 20, 2019Updated 6 years ago
Alternatives and similar repositories for calibrated_regression
Users that are interested in calibrated_regression are comparing it to the libraries listed below
Sorting:
- 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
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 4 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Jun 21, 2024Updated last year
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 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
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- Code and methods for COVID19 lagged mobility and sociodemographic association model US county-level☆11Feb 12, 2021Updated 5 years ago
- Survival Extrapolation With a Flexible Parametric Model and External Data☆12Jan 12, 2026Updated last month
- Template course website for the Designing a Data Science Classroom workshop at rstudio::conf(2022).☆11Jul 27, 2022Updated 3 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆11Jan 30, 2025Updated last year
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 years ago
- ☆239May 23, 2020Updated 5 years ago
- The IVI-NSCLC simulation model☆13Jul 23, 2019Updated 6 years ago
- 因果学习、不确定性估计相关资源（论文、代码、数据、博客等）☆14Feb 23, 2024Updated last year
- Official code for "Self-supervised learning with rotation-invariant kernels"☆12Jun 5, 2023Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- Parametric cure models for flexsurvreg☆16Feb 15, 2025Updated last year
- The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs☆17Sep 25, 2020Updated 5 years ago
- ☆17Oct 6, 2020Updated 5 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 4 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Jun 7, 2021Updated 4 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Nov 29, 2022Updated 3 years ago
- Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)☆19Oct 8, 2020Updated 5 years ago
- ☆14Mar 23, 2021Updated 4 years ago
- ☆15Jan 12, 2026Updated last month
- Open Source Mycetoma's First Series of Molecules☆10Sep 22, 2025Updated 4 months ago
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆22Aug 8, 2023Updated 2 years ago
- ☆53May 4, 2018Updated 7 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆28Oct 17, 2023Updated 2 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Jan 14, 2026Updated last month
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆24Sep 5, 2024Updated last year
- ☆24Aug 11, 2023Updated 2 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 years ago
- Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical…☆26Feb 27, 2023Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Gradient-based Uncertainty for Monocular Depth Estimation (ECCV 2022)☆54Sep 7, 2023Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago