👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
☆397Jun 23, 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:
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆66May 20, 2026Updated last month
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆61May 19, 2026Updated last month
- Python package for conformal prediction☆576Jun 12, 2026Updated 3 weeks 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.☆472Nov 1, 2025Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆117May 1, 2026Updated 2 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆27Dec 9, 2024Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,562Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆229Jan 14, 2024Updated 2 years ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆747Mar 31, 2026Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆203May 8, 2026Updated last month
- 🐟 CODS - Conformal Object Detection and Segmentation☆21Jun 22, 2026Updated 2 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)☆78Updated this week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,259Jun 20, 2026Updated 2 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.
- A Library for Uncertainty Quantification.☆927Apr 23, 2025Updated last year
- New implementations of old orthogonal layers unlock large scale training.☆31Sep 19, 2025Updated 9 months ago
- ☆48Jan 13, 2025Updated last year
- ☆23Apr 13, 2024Updated 2 years ago
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆25Feb 18, 2025Updated last year
- Python implementation of the conformal prediction framework.☆479Mar 20, 2021Updated 5 years ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,062Nov 14, 2025Updated 7 months ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆186Nov 4, 2025Updated 8 months 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.
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆25Feb 20, 2026Updated 4 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆46May 18, 2026Updated last month
- ☆40Sep 15, 2025Updated 9 months ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Dec 31, 2024Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Mar 23, 2023Updated 3 years ago
- Quantile Regression Forests compatible with scikit-learn.☆253Jun 22, 2026Updated last week
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆29Jun 28, 2024Updated 2 years ago
- Extending Conformal Prediction to LLMs☆70Jun 21, 2024Updated 2 years 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
- 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.
- 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
- ☆114Feb 18, 2024Updated 2 years ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆146Dec 4, 2025Updated 7 months ago
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 7 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆327Updated this week
- 🪄 Interpreto is an interpretability toolbox for LLMs☆188Updated this week
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆29May 22, 2025Updated last year