bmucsanyi / untangleLinks
Large-scale uncertainty benchmark in deep learning.
☆64Updated 8 months ago
Alternatives and similar repositories for untangle
Users that are interested in untangle are comparing it to the libraries listed below
Sorting:
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- ☆17Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated 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…☆57Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆146Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 4 months ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 3 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years ago
- Mutual information estimators and benchmark☆56Updated 4 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆26Updated last year
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated last year
- Agustinus' very opiniated publication-ready plotting library☆70Updated 8 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆12Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆46Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆466Updated last week
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago