yromano / cqrLinks
Conformalized Quantile Regression
☆273Updated 3 years ago
Alternatives and similar repositories for cqr
Users that are interested in cqr are comparing it to the libraries listed below
Sorting:
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆117Updated last year
- Conformal prediction for time-series applications.☆115Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆158Updated last year
- Methods for online conformal prediction.☆112Updated last month
- ☆61Updated 3 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆241Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 6 months ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆216Updated 7 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆65Updated last week
- Quantile Regression Forests compatible with scikit-learn.☆230Updated last month
- For calculating global feature importance using Shapley values.☆270Updated this week
- An extension of LightGBM to probabilistic modelling☆312Updated 11 months ago
- Tabular In-Context Learning☆67Updated 2 months ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆386Updated last week
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆163Updated 8 months ago
- Conformal Anomaly Detection☆48Updated last week
- ☆61Updated 4 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 9 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆175Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆238Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago