11 results found Sort:

59
563
apache-2.0
26
An extension of XGBoost to probabilistic modelling
Created 2019-06-16
978 commits to master branch, last one 10 months ago
28
276
apache-2.0
10
An extension of LightGBM to probabilistic modelling
Created 2020-07-03
194 commits to master branch, last one 8 months ago
49
252
other
8
Conformalized Quantile Regression
Created 2019-04-12
201 commits to master branch, last one 2 years ago
25
210
apache-2.0
11
Quantile Regression Forests compatible with scikit-learn.
Created 2022-03-23
404 commits to main branch, last one 2 days ago
An extension of CatBoost to probabilistic modelling
Created 2019-12-20
44 commits to master branch, last one about a year ago
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Created 2022-11-17
11 commits to main branch, last one about a year ago
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Created 2024-03-01
31 commits to main branch, last one about a month ago
Bringing back uncertainty to machine learning.
Created 2020-03-29
437 commits to main branch, last one 5 months ago
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
Created 2023-02-03
18 commits to main branch, last one about a year ago