ml-stat-Sustech / TorchCPLinks
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
β386Updated last week
Alternatives and similar repositories for TorchCP
Users that are interested in TorchCP are comparing it to the libraries listed below
Sorting:
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β330Updated last week
- Python package for conformal predictionβ509Updated 2 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagramsβ159Updated 11 months ago
- Lightweight, useful implementation of conformal prediction on real data.β886Updated last year
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.β215Updated last year
- Conformalized Quantile Regressionβ273Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, caβ¦β170Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packtβ177Updated 3 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataβ72Updated 2 weeks ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.β240Updated 2 weeks ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true claβ¦β241Updated 2 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"β158Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibrationβ163Updated 8 months ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregaβ¦β648Updated last year
- β49Updated 5 months ago
- A package for conformal prediction with conditional guarantees.β57Updated 3 months ago
- A Library for Uncertainty Quantification.β915Updated last month
- Open-source framework for uncertainty and deep learning models in PyTorchβ393Updated last week
- Repository for the explanation method Calibrated Explanations (CE)β65Updated last week
- Tabular In-Context Learningβ67Updated 2 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal predictionβ¦β117Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classiβ¦β128Updated 2 years ago
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ110Updated last month
- Our maintained PFN repository. Come here to train SOTA PFNs.β87Updated this week
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightningβ179Updated this week
- Conformal prediction for time-series applications.β115Updated last year
- Methods for online conformal prediction.β112Updated last month
- Shapley Interactions and Shapley Values for Machine Learningβ554Updated this week
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer viβ¦β66Updated 2 years ago
- β479Updated 9 months ago