👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
☆414Nov 2, 2026Updated this week
Alternatives and similar repositories for puncc
Users that are interested in puncc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆68Aug 24, 2026Updated 2 months ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆62May 19, 2026Updated 5 months ago
- Python package for conformal prediction☆586Jul 8, 2026Updated 3 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆102Mar 14, 2025Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆481Aug 5, 2026Updated 2 months 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.
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆119May 1, 2026Updated 6 months ago
- This library allow to compute global sensitivity indices in the context of fairness measurements.☆10Mar 29, 2023Updated 3 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,662Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆208Sep 2, 2026Updated 2 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆229Jan 14, 2024Updated 2 years ago
- 🐟 CODS - Conformal Object Detection and Segmentation☆22Jul 24, 2026Updated 3 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆28Dec 9, 2024Updated last year
- Calibrated Explanations is an explanation method for uncertainty-aware explanations of classification and regression models.☆79Updated this week
- 👋 Xplique is a Neural Networks Explainability Toolbox☆761Oct 13, 2026Updated 3 weeks 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.
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆26Feb 18, 2025Updated last year
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆44Mar 23, 2026Updated 7 months ago
- ☆48Jan 13, 2025Updated last year
- New implementations of old orthogonal layers unlock large scale training.☆33Sep 19, 2025Updated last year
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,333Aug 25, 2026Updated 2 months ago
- A Library for Uncertainty Quantification.☆929Apr 23, 2025Updated last year
- Lightweight, useful implementation of conformal prediction on real data.☆1,109Nov 14, 2025Updated 11 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆191Sep 11, 2026Updated last month
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆26Feb 20, 2026Updated 8 months 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.
- A Library for Conformal Hyperparameter Tuning☆106Nov 24, 2025Updated 11 months ago
- Python implementation of the conformal prediction framework.☆479Mar 20, 2021Updated 5 years ago
- ☆40Sep 15, 2025Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆203Mar 2, 2026Updated 8 months ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆29Jun 28, 2024Updated 2 years ago
- ☆114Feb 18, 2024Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Jun 22, 2022Updated 4 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆79Updated this week
- ☆23Apr 13, 2024Updated 2 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.
- Conformal Anomaly Detection & Change-Point Detection☆58Updated this week
- ☆55Mar 1, 2026Updated 8 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆47May 18, 2026Updated 5 months ago
- Conformalized Quantile Regression☆319Oct 27, 2026Updated last week
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆16Dec 20, 2019Updated 6 years ago
- Quantile Regression Forests compatible with scikit-learn.☆256Updated this week