google-deepmind / conformal_trainingLinks
This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".
☆128Updated 2 years ago
Alternatives and similar repositories for conformal_training
Users that are interested in conformal_training are comparing it to the libraries listed below
Sorting:
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆66Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 6 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Large-scale uncertainty benchmark in deep learning.☆60Updated 3 weeks ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆86Updated last year
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆52Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- ☆146Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆57Updated 3 months ago
- ☆18Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- 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
- Parameter-Free Optimizers for Pytorch☆129Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 11 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- ☆99Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 9 months ago
- A statistical toolkit for scientific discovery using machine learning☆76Updated 10 months ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆159Updated 11 months ago
- Agustinus' very opiniated publication-ready plotting library☆65Updated last month
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆38Updated last month
- Transformers with doubly stochastic attention☆45Updated 2 years ago