Search Packages

ngboost

Natural Gradient Boosting for Probabilistic Prediction

quantile-forest

Quantile Regression Forests compatible with scikit-learn.

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

pygpc

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

xgboostlss

An extension of XGBoost to probabilistic modelling

lightgbmlss

An extension of LightGBM to probabilistic modelling

adfwi-torch

An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

nlp-uncertainty-zoo

PyTorch Implementation of Models used for Uncertainty Estimation in Natural Language Processing.

torchbayesian

PyTorch-native Bayesian neural networks for uncertainty quantification in deep learning

robust-deep-learning

The Robust Deep Learning Library

photonai-conformal

No description available

sentinelml

Runtime trust layer for machine learning systems that evaluates prediction reliability in real-world environments.

ngboost-release

Natural Gradient Boosting for Probabilistic Prediction

masksembles

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

kid-ppg

KID-PPG package for heart rate extraction from photoplethysmography signals

muben

MUBen: Benchmarking the Uncertainty of Molecular Representation Models