aangelopoulos / conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
☆879Updated last year
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.☆376Updated 3 weeks ago
- Python package for conformal prediction☆503Updated last month
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated 11 months ago
- A Library for Uncertainty Quantification.☆914Updated 3 weeks ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆236Updated 4 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,381Updated this week
- Conformalized Quantile Regression☆272Updated 3 years ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆213Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆175Updated last week
- 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
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆730Updated 2 weeks ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆388Updated this week
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆587Updated 3 weeks ago
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆655Updated last week
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆649Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆327Updated 4 months ago
- ☆478Updated 8 months ago
- Tabular Deep Learning Library for PyTorch☆657Updated this week
- PyTorch implementation of bayesian neural network [torchbnn]☆531Updated 9 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆625Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,504Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learning☆524Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆157Updated 8 months ago
- Laplace approximations for Deep Learning.☆502Updated 3 weeks ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆144Updated 11 months ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆957Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated last week
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆672Updated last week
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆216Updated 6 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated 11 months ago