A library for uncertainty quantification based on PyTorch
☆119Jan 10, 2022Updated 4 years ago
Alternatives and similar repositories for torchuq
Users that are interested in torchuq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Message Passing Neural Networks for Molecule Property Prediction☆12Jan 17, 2020Updated 6 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,994Mar 5, 2025Updated last year
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Jul 4, 2019Updated 6 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆24Mar 26, 2022Updated 4 years ago
- Offline Contextual Bayesian Optimization☆15Jul 20, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- View chemicals as graphs and perform operations on graphs for predictive chemistry☆30Jan 4, 2026Updated 5 months ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Jul 28, 2019Updated 6 years ago
- A package for conformal prediction with conditional guarantees.☆70Oct 7, 2025Updated 8 months ago
- ☆14May 5, 2023Updated 3 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆23Nov 4, 2022Updated 3 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆29Jun 28, 2024Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated 2 years 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.
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆30Nov 26, 2022Updated 3 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- ☆14Feb 11, 2025Updated last year
- A Library for Uncertainty Quantification.☆927Apr 23, 2025Updated last year
- Code repository accompanying the research paper "Uncertainty Quantification for Image-based Traffic Prediction across Cities"☆12Aug 14, 2023Updated 2 years ago
- ☆10Jun 12, 2021Updated 5 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆89Feb 1, 2024Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Jan 27, 2023Updated 3 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆257Jan 23, 2023Updated 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.
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,246May 20, 2026Updated 3 weeks ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,056Nov 14, 2025Updated 7 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆133Nov 25, 2023Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,553Updated this week
- A package for Safe Anytime Valid Inference☆26Nov 4, 2024Updated last year
- Laplace approximations for Deep Learning.☆544Apr 22, 2025Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆25Dec 30, 2021Updated 4 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.
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Jan 6, 2026Updated 5 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆187Nov 4, 2025Updated 7 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177May 17, 2024Updated 2 years ago
- ☆12Mar 7, 2022Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Jul 10, 2021Updated 4 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Nov 7, 2024Updated last year
- Code for extrapolation in materials property prediction as proposed in "Known Unknowns: Out-of-Distribution Property Prediction in Materi…☆34Jan 16, 2026Updated 4 months ago