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Prediction Intervals Python Packages

Python packages with the GitHub topic prediction-intervals. Sorted by relevance, with stars and monthly downloads.
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

95K 1K 189
zillow
quantile-forest

Quantile Regression Forests compatible with scikit-learn.

60K 254 30
henrikbostrom
crepes

Python package for conformal prediction

21K 575 45
StatMixedML
xgboostlss

An extension of XGBoost to probabilistic modelling

3K 709 80
StatMixedML
lightgbmlss

An extension of LightGBM to probabilistic modelling

3K 384 36
superlinear-ai
conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

691 117 5
saattrupdan
doubt

Bringing back uncertainty to machine learning.

656 55 3
burning-cost
insurance-conformal

Conformal prediction intervals for Tweedie/Poisson insurance models - distribution-free coverage guarantees

580 0 0
NeuraXenetica
comport-ai

An HR predictive analytics tool that forecasts the likely range of a worker’s future job performance, using ANNs whose custom loss functions enable them to formulate prediction intervals that are as small as possible, while being just large enough to contain a worker’s actual future performance in most cases.

249 2 0
Larsvanderlaan
selfcalibratingconformal

A Python implementation of Self-Calibrating Conformal Prediction

229 13 3
lsorber
neo-ls-svm

Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation

205 35 4
richardangell
pitci

Prediction intervals for trees using conformal intervals - pitci

181 8 0
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