EpistasisLab / pmlbLinks
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
☆854Updated 11 months ago
Alternatives and similar repositories for pmlb
Users that are interested in pmlb are comparing it to the libraries listed below
Sorting:
- ☆762Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆813Updated 3 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆526Updated 2 months ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆947Updated 2 weeks ago
- Tools for causal analysis☆1,080Updated 10 months ago
- ML-Ensemble – high performance ensemble learning☆863Updated 2 years ago
- A template for scikit-learn extensions☆341Updated last year
- python partial dependence plot toolbox☆863Updated last year
- scikit-learn compatible projects☆406Updated 10 months ago
- H2O.ai Machine Learning Interpretability Resources☆490Updated 5 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆771Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆522Updated 4 years ago
- machine learning with logical rules in Python☆659Updated 2 years ago
- Python implementation of the rulefit algorithm☆440Updated 2 years ago
- Hyper-parameter optimization for sklearn☆1,646Updated 9 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- OpenML's Python API for a World of Data and More 💫☆328Updated last week
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,280Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆422Updated 2 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆623Updated 10 months ago
- Python implementation of the conformal prediction framework.☆477Updated 4 years ago
- Causal Graphical Models in Python☆249Updated 2 years ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆527Updated 5 years ago
- Open Machine Learning☆727Updated 2 weeks ago
- Multiple Pairwise Comparisons (Post Hoc) Tests in Python☆379Updated 4 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,455Updated 2 weeks ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- A collection of Bayesian data analysis recipes using PyMC3☆561Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago