#计算机科学#Time series forecasting with PyTorch
翻译 - 使用PyTorch进行时间序列预测
#计算机科学#Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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#A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
#计算机科学#Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
#计算机科学#A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
A state-of-the-art distributed system using Reactive DDD as uncertainty modeling, Event Storming as subdomain decomposition, Event Sourcing as an eventual persistence mechanism, CQRS, Async Projection...
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
#计算机科学#A curated list of trustworthy deep learning papers. Daily updating...
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
#人脸识别#(ICCV 2019) Uncertainty-aware Face Representation and Recognition
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
#计算机科学#Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
#计算机科学#Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).