tiffanyding / class-conditional-conformalLinks
☆17Updated 5 months ago
Alternatives and similar repositories for class-conditional-conformal
Users that are interested in class-conditional-conformal 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…☆67Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆61Updated 4 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆67Updated 8 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Large-scale uncertainty benchmark in deep learning.☆61Updated 2 months ago
- ☆109Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 10 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆163Updated 2 weeks ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆242Updated 2 years ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- Optimal Transport in the Big Data Era☆107Updated 8 months ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆52Updated this week
- ☆24Updated 3 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆403Updated this week
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- ☆14Updated 2 years ago
- ☆109Updated 4 years ago
- ☆63Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 7 months ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago