A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
☆447Nov 1, 2025Updated 4 months ago
Alternatives and similar repositories for TorchCP
Users that are interested in TorchCP are comparing it to the libraries listed below
Sorting:
- Python package for conformal prediction☆555Oct 9, 2025Updated 4 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆372Updated this week
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆13Jun 14, 2024Updated last year
- Lightweight, useful implementation of conformal prediction on real data.☆1,014Nov 14, 2025Updated 3 months ago
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,163Feb 22, 2026Updated last week
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Oct 1, 2025Updated 5 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,520Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆195Feb 1, 2026Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆229Jan 14, 2024Updated 2 years ago
- Conformal Anomaly Detection & Change-Point Detection☆56Updated this week
- ☆19Aug 14, 2025Updated 6 months ago
- ☆22Apr 13, 2024Updated last year
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆130Nov 25, 2023Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Oct 7, 2025Updated 4 months ago
- ☆18Apr 7, 2025Updated 10 months ago
- Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…☆24Feb 20, 2026Updated last week
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Jan 23, 2023Updated 3 years ago
- Integrated tool for model development and validation☆34Nov 7, 2025Updated 3 months ago
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆842Feb 12, 2026Updated 2 weeks ago
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆15Dec 20, 2019Updated 6 years ago
- Conformal prediction for time-series applications.☆134Nov 30, 2023Updated 2 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Dec 31, 2024Updated last year
- Methods and tools for multistep-ahead time series conformal prediction.☆44Feb 5, 2026Updated 3 weeks ago
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 3 months ago
- A Library for Uncertainty Quantification.☆921Apr 23, 2025Updated 10 months ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated last year
- ☆41Dec 27, 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 2 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Aug 11, 2025Updated 6 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆276Feb 24, 2026Updated last week
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Jun 22, 2022Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177May 17, 2024Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆182Nov 4, 2025Updated 3 months ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆26Dec 9, 2024Updated last year
- A framework for calibration measurement of binary probabilistic models☆29May 2, 2024Updated last year
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆20Jul 16, 2024Updated last year
- Python implementation of the conformal prediction framework.☆478Mar 20, 2021Updated 4 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆197Feb 5, 2026Updated 3 weeks ago
- ☆52Sep 29, 2025Updated 5 months ago