BayesianTestsML / tutorialLinks
Tutorial on Bayesian tests for Machine Learning
☆79Updated 4 years ago
Alternatives and similar repositories for tutorial
Users that are interested in tutorial are comparing it to the libraries listed below
Sorting:
- Dimensionality reduction for binary data☆50Updated 4 years ago
- ☆74Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Active Learning in R☆47Updated 8 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 3 weeks ago
- Tools for conformal inference in regression☆244Updated 10 months ago
- Statistical comparison of multiple algorithms☆42Updated last year
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆123Updated 3 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- ☆92Updated 6 months ago
- Generalized linear mixed-effect model in Python☆179Updated 6 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Create sparse and accurate risk scoring systems!☆37Updated 10 months ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated last year
- simple customizable scoring systems in python☆40Updated last year
- Basic time series modeling with Stan and Pystan☆33Updated 7 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆160Updated last week
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- repository for R library "sbrlmod"☆25Updated last year
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Learning Certifiably Optimal Rule Lists☆175Updated 3 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago