π Puncc is a python library for predictive uncertainty quantification using conformal prediction.
β380Apr 8, 2026Updated last 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:
- π Influenciae is a Tensorflow Toolbox for Influence Functionsβ66Apr 7, 2026Updated last week
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β60Mar 31, 2026Updated 2 weeks ago
- Python package for conformal predictionβ563Oct 9, 2025Updated 6 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ101Mar 14, 2025Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β463Nov 1, 2025Updated 5 months ago
- Wordpress hosting with auto-scaling - Free Trial β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ116Apr 1, 2026Updated 2 weeks ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentationβ26Dec 9, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,529Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.β229Jan 14, 2024Updated 2 years ago
- π Xplique is a Neural Networks Explainability Toolboxβ741Mar 31, 2026Updated 2 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ197Mar 8, 2026Updated last month
- π CODS - Conformal Object Detection and Segmentationβ21Dec 15, 2025Updated 4 months ago
- Repository for the explanation method Calibrated Explanations (CE)β76Mar 30, 2026Updated 2 weeks ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-souβ¦β1,196Apr 8, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A Library for Uncertainty Quantification.β923Apr 23, 2025Updated 11 months ago
- New implementations of old orthogonal layers unlock large scale training.β30Sep 19, 2025Updated 6 months ago
- β48Jan 13, 2025Updated last year
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.β24Feb 18, 2025Updated last year
- β22Apr 13, 2024Updated 2 years ago
- Python implementation of the conformal prediction framework.β477Mar 20, 2021Updated 5 years ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.β26Feb 6, 2025Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagramsβ184Nov 4, 2025Updated 5 months ago
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal pβ¦β25Feb 20, 2026Updated last month
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.β45Mar 30, 2026Updated 2 weeks ago
- Lightweight, useful implementation of conformal prediction on real data.β1,031Nov 14, 2025Updated 5 months ago
- β39Sep 15, 2025Updated 7 months ago
- Quantile Regression Forests compatible with scikit-learn.β253Apr 6, 2026Updated last week
- Causal Impact but with MFLES and conformal prediction intervalsβ33Dec 31, 2024Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformalβ¦β30Mar 23, 2023Updated 3 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distribβ¦β28Jun 28, 2024Updated last year
- Extending Conformal Prediction to LLMsβ70Jun 21, 2024Updated last year
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal predictionβ¦β131Nov 25, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available β’ AdRun AI, ML, and HPC workloads on powerful cloud GPUsβwithout limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β258Jan 23, 2023Updated 3 years ago
- πͺ Interpreto is an interpretability toolbox for LLMsβ165Apr 6, 2026Updated last week
- π Overcomplete is a Vision-based SAE Toolboxβ133Dec 4, 2025Updated 4 months ago
- β114Feb 18, 2024Updated 2 years ago
- A Library for Conformal Hyperparameter Tuningβ104Nov 24, 2025Updated 4 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in pythonβ321Apr 9, 2026Updated last week
- All the material needed to use MC-CP and the Adaptive MC Dropout methodβ29May 22, 2025Updated 10 months ago