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A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Created
2021-03-30
3,002 commits to master branch, last one 6 days ago
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Created
2016-08-29
2,225 commits to master branch, last one 8 days ago
Python package for conformal prediction
python
sklearn
regression
scikit-learn
prediction-sets
jupyter-notebook
machine-learning
quantile-regression
confidence-intervals
conformal-prediction
conformal-regressors
prediction-intervals
conformal-classifiers
uncertainty-quantification
conformal-predictive-systems
cumulative-distribution-function
Created
2021-11-17
202 commits to main branch, last one 8 days ago
:bar_chart: Computation and processing of models' parameters
Created
2019-02-09
5,311 commits to main branch, last one 13 hours ago
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Created
2023-08-24
286 commits to main branch, last one 3 months ago
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
scipy
python
p-value
matplotlib
regression
statistics
probability
random-variables
python-statistics
hypothesis-testing
probability-theory
statiscal-learning
confidence-intervals
discrete-distributions
inferential-statistics
statistics-using-python
continuous-distributions
parametric-hypothesis-tests
statistics-for-data-science
statistical-hypothesis-testing
Created
2022-06-14
60 commits to main branch, last one 26 days ago
Statistical bootstrapping library for Julia
Created
2014-10-29
331 commits to master branch, last one about a year ago
Randomization-based inference in Python
Created
2018-08-23
311 commits to main branch, last one 6 months ago
Robust statistics in Python
Created
2020-03-04
171 commits to master branch, last one 2 years ago
Honest inference in regression discontinuity designs
Created
2016-06-02
161 commits to master branch, last one 3 months ago
Bringing back uncertainty to machine learning.
Created
2020-03-29
437 commits to main branch, last one 10 months ago
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
Created
2019-04-20
15 commits to master branch, last one 3 years ago
Methods for computational information geometry
Created
2020-08-28
774 commits to master branch, last one 4 hours ago
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various meth...
Created
2021-01-31
219 commits to main branch, last one about a month 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 2 years ago
Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.ca...
Created
2023-11-14
9 commits to master branch, last one 10 months ago