π Puncc is a python library for predictive uncertainty quantification using conformal prediction.
β392May 19, 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 Functionsβ66May 5, 2026Updated 3 weeks ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.β61Mar 31, 2026Updated last month
- Python package for conformal predictionβ575Oct 9, 2025Updated 7 months ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layersβ104Mar 14, 2025Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β470Nov 1, 2025Updated 6 months ago
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ117May 1, 2026Updated 3 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.β1,547Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.β230Jan 14, 2024Updated 2 years ago
- π Xplique is a Neural Networks Explainability Toolboxβ745Mar 31, 2026Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibrationβ203May 8, 2026Updated 2 weeks ago
- π CODS - Conformal Object Detection and Segmentationβ21Updated this week
- Repository for the explanation method Calibrated Explanations (CE)β77May 19, 2026Updated last week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-souβ¦β1,227Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits β’ AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Library for Uncertainty Quantification.β926Apr 23, 2025Updated last year
- New implementations of old orthogonal layers unlock large scale training.β31Sep 19, 2025Updated 8 months ago
- β48Jan 13, 2025Updated last year
- β23Apr 13, 2024Updated 2 years ago
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.β25Feb 18, 2025Updated last year
- Python implementation of the conformal prediction framework.β477Mar 20, 2021Updated 5 years ago
- Lightweight, useful implementation of conformal prediction on real data.β1,047Nov 14, 2025Updated 6 months ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.β27Feb 6, 2025Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagramsβ187Nov 4, 2025Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal pβ¦β25Feb 20, 2026Updated 3 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.β46May 18, 2026Updated last week
- β40Sep 15, 2025Updated 8 months ago
- Causal Impact but with MFLES and conformal prediction intervalsβ33Dec 31, 2024Updated last year
- Quantile Regression Forests compatible with scikit-learn.β254Apr 13, 2026Updated last month
- 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¦β29Jun 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¦β133Nov 25, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β257Jan 23, 2023Updated 3 years ago
- β114Feb 18, 2024Updated 2 years ago
- π Overcomplete is a Vision-based SAE Toolboxβ139Dec 4, 2025Updated 5 months ago
- A Library for Conformal Hyperparameter Tuningβ104Nov 24, 2025Updated 6 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in pythonβ326May 19, 2026Updated last week
- πͺ Interpreto is an interpretability toolbox for LLMsβ179Updated this week
- All the material needed to use MC-CP and the Adaptive MC Dropout methodβ29May 22, 2025Updated last year