aangelopoulos / conformal-predictionLinks
Lightweight, useful implementation of conformal prediction on real data.
☆995Updated last month
Alternatives and similar repositories for conformal-prediction
Users that are interested in conformal-prediction are comparing it to the libraries listed below
Sorting:
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆440Updated last month
- A Library for Uncertainty Quantification.☆924Updated 8 months ago
- Python package for conformal prediction☆550Updated 2 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆270Updated 3 months ago
- Conformalized Quantile Regression☆297Updated 3 years ago
- Shapley Interactions and Shapley Values for Machine Learning☆659Updated last week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆365Updated 3 weeks ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- ☆500Updated last year
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆1,104Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆227Updated last year
- ☆519Updated last year
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆775Updated 3 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆462Updated 2 weeks ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,500Updated this week
- Practical Guide to Applied Conformal Prediction, published by Packt☆194Updated last month
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 2 years ago
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆809Updated last month
- Laplace approximations for Deep Learning.☆529Updated 8 months ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆627Updated 6 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆244Updated last year
- Tabular Deep Learning Library for PyTorch☆758Updated this week
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆679Updated last year
- Experiments on Tabular Data Models☆281Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆786Updated 3 weeks ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆124Updated 3 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,552Updated last week
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆634Updated 5 months ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 3 months ago
- For calculating global feature importance using Shapley values.☆282Updated this week