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A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Created
2021-03-30
2,963 commits to master branch, last one 6 days ago
A Library for Uncertainty Quantification.
Created
2022-11-17
238 commits to main branch, last one 10 days ago
Lightweight, useful implementation of conformal prediction on real data.
Created
2021-12-25
151 commits to main branch, last one 8 months ago
Python package for conformal prediction
python
sklearn
regression
scikit-learn
prediction-sets
jupyter-notebook
machine-learning
quantile-regression
confidence-intervals
conformal-prediction
conformal-regressors
prediction-intervals
conformal-classifiers
uncertainty-quantification
conformal-predictive-systems
cumulative-distribution-function
Created
2021-11-17
196 commits to main branch, last one 2 months ago
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Created
2021-12-10
1,070 commits to main branch, last one 3 days ago
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Created
2022-07-20
194 commits to main branch, last one 28 days ago
Conformalized Quantile Regression
Created
2019-04-12
201 commits to master branch, last one 2 years ago
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Created
2020-09-04
135 commits to master branch, last one about a year ago
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Created
2023-12-27
19 commits to main branch, last one 10 months ago
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Created
2021-11-06
145 commits to main branch, last one 6 months ago
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Created
2023-02-17
282 commits to main branch, last one 3 days ago
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Created
2022-09-26
401 commits to main branch, last one 3 months ago
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Created
2022-11-17
11 commits to main branch, last one 2 years ago
Conformal prediction for time-series applications.
Created
2023-05-02
89 commits to main branch, last one about a year ago
Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)
Created
2021-06-16
49 commits to main branch, last one about a year ago
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Created
2024-03-01
31 commits to main branch, last one about a month ago
Valid and adaptive prediction intervals for probabilistic time series forecasting
Created
2022-02-11
26 commits to main branch, last one 2 years ago
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Created
2023-09-03
7 commits to master branch, last one about a year ago
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
Created
2022-06-22
27 commits to main branch, last one about a year ago
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
Created
2023-09-03
23 commits to main branch, last one about a year ago
Public release for "Explore until Confident: Efficient Exploration for Embodied Question Answering"
Created
2023-10-05
3 commits to master branch, last one 5 months ago
Unofficial implementation of Conformal Language Modeling by Quach et al
Created
2023-07-07
21 commits to main branch, last one about a year ago
A Library for Conformal Hyperparameter Tuning
Created
2023-12-09
28 commits to main branch, last one 10 months ago
Conformal Language Modeling
Created
2023-12-21
2 commits to main branch, last one 11 months ago
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
Created
2023-02-03
18 commits to main branch, last one about a year ago