Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
翻译 - 用于预测不确定性量化，校准，指标和可视化的python工具箱
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
#计算机科学#A Library for Uncertainty Quantification.
#自然语言处理#Lightweight, useful implementation of conformal prediction on real data.
#Awesome#Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
#计算机科学#This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
#计算机科学#Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
#计算机科学#A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...
#Awesome#A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
#计算机科学#A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
#计算机科学#Python package for conformal prediction
Chaospy - Toolbox for performing uncertainty quantification.
#计算机科学#A Python library for amortized Bayesian workflows using generative neural networks.
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
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#计算机科学#DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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Uncertainty treatment library