Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
☆44Nov 25, 2024Updated last year
Alternatives and similar repositories for calibrated-quantile-uq
Users that are interested in calibrated-quantile-uq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆22Aug 8, 2023Updated 2 years ago
- A comparison of some conformal quantile regression methods.☆12Sep 14, 2019Updated 6 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Jun 13, 2019Updated 7 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆13Dec 7, 2023Updated 2 years ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆18Apr 1, 2026Updated 3 months ago
- This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Ins…☆13Jul 26, 2021Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆25Dec 30, 2021Updated 4 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,002Mar 5, 2025Updated last year
- ☆18Oct 29, 2021Updated 4 years ago
- ☆10Jun 13, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Distributional Gradient Boosting Machines☆28Dec 13, 2022Updated 3 years ago
- Python library for classifier calibration☆20May 3, 2024Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.☆13Nov 16, 2023Updated 2 years ago
- Deep Learning for Quantile Regression under Right Censoring☆31Nov 16, 2021Updated 4 years ago
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated last year
- Open-source tool to get a pre-trained deep learning model for solar forecasting purposes☆18Mar 13, 2025Updated last year
- Uncertainty-aware classification.☆17Jun 28, 2022Updated 4 years ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Scalable Monotonic Neural Networks☆12Mar 14, 2024Updated 2 years ago
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆16Mar 18, 2024Updated 2 years ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆56Feb 16, 2026Updated 4 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- ☆18Jun 27, 2024Updated 2 years ago
- ☆19Mar 25, 2024Updated 2 years ago
- PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning☆17Aug 10, 2021Updated 4 years ago
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated last year
- MATLAB code for semi-supervised learning based on positive-unlabeled learning☆11Mar 21, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Portfolio REgret for Confidence SEquences☆21Jan 6, 2026Updated 6 months ago
- Enjoy puzzle-solving directly in your browser.☆33Apr 18, 2025Updated last year
- A simple implementation of the WaveNet model for time series forecasting☆25Apr 3, 2018Updated 8 years ago
- ☆23Feb 4, 2023Updated 3 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆19Sep 2, 2025Updated 10 months ago
- Implementation of a list sweeper: instead of the cartesian product, sweep over the zipped list☆28Mar 17, 2025Updated last year
- JAX implementation of Learning to learn by gradient descent by gradient descent☆29Aug 5, 2025Updated 11 months ago