A professionally curated list of awesome Conformal Prediction videos, tu...
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantif...
Natural Gradient Boosting for Probabilistic Prediction
A Library for Uncertainty Quantification.
Curated list of open source tooling for data-centric AI on unstructured ...
Literature survey, paper reviews, experimental setups and a collection o...
An extension of XGBoost to probabilistic modelling
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and R...
A library for Bayesian neural network layers and uncertainty estimation ...
A generic Mixture Density Networks (MDN) implementation for distribution...
CVPR 2020 - On the uncertainty of self-supervised monocular depth estima...
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in ...
Code for the Neural Processes website and replication of 4 papers on NPs...
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Dep...
Various Conformal Prediction methods implemented from scratch in pure Nu...