A scikit-learn-compatible module for estimating prediction intervals.
BSD-3-CLAUSE License
Estimation and hypothesis tests of calibration in Python using CalibrationErrors.jl and Calibrati...
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Enabling easy statistical significance testing for deep neural networks.
A python library for user-friendly forecasting and anomaly detection on time series.
Conformal classifiers, regressors and predictive systems
Replicated Focusing Belief Propagation algorithm
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Ma...
Multi-language suite for analyzing calibration of probabilistic predictive models.
Diffusers training with mmengine
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, met...
Awesome Domain Adaptation Python Toolbox
Uniform Manifold Approximation and Projection
Manifold Markov chain Monte Carlo methods in Python
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...