Natural Gradient Boosting for Probabilistic Prediction
-
Updated
Feb 21, 2024 - Python
Natural Gradient Boosting for Probabilistic Prediction
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
An extension of XGBoost to probabilistic modelling
A Library for Uncertainty Quantification.
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
An extension of LightGBM to probabilistic modelling
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
Quantile Regression Forests compatible with scikit-learn.
pyPCGA: fast and scalable inverse modeling approach
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Add a description, image, and links to the uncertainty-estimation topic page so that developers can more easily learn about it.
To associate your repository with the uncertainty-estimation topic, visit your repo's landing page and select "manage topics."