AlvinWen428 / FeatureCPLinks
The official codebase for Predictive Inference with Feature Conformal Prediction
☆36Updated 2 years ago
Alternatives and similar repositories for FeatureCP
Users that are interested in FeatureCP are comparing it to the libraries listed below
Sorting:
- A package for conformal prediction with conditional guarantees.☆58Updated 4 months ago
- Evidential Deep Learning in PyTorch☆61Updated 2 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 7 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 7 months ago
- ☆24Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 9 months ago
- This repository contains an official implementation of LPBNN.☆38Updated last year
- Large-scale uncertainty benchmark in deep learning.☆60Updated last month
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 11 months ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆12Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Implementation of Deep evidential regression paper☆57Updated 4 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 4 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 weeks ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆51Updated 5 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆26Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆27Updated 2 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆43Updated 4 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- ☆108Updated 3 years ago
- ☆17Updated 4 months ago
- ☆17Updated last year
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆29Updated 4 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last month