EpistasisLab / pmlbLinks
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
☆853Updated 10 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 last month
- A template for scikit-learn extensions☆339Updated 11 months ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆942Updated last week
- Python implementation of the rulefit algorithm☆434Updated 2 years ago
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆522Updated 4 years ago
- scikit-learn compatible projects☆408Updated 9 months ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- python partial dependence plot toolbox☆860Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆771Updated last year
- Python implementation of the conformal prediction framework.☆475Updated 4 years ago
- machine learning with logical rules in Python☆655Updated last year
- H2O.ai Machine Learning Interpretability Resources☆491Updated 5 years ago
- Tools for causal analysis☆1,078Updated 9 months ago
- OpenML's Python API for a World of Data and More 💫☆321Updated this week
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,280Updated 2 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆679Updated last year
- ☆368Updated 4 years ago
- Hyper-parameter optimization for sklearn☆1,649Updated 8 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 9 months ago
- A Python library for dynamic classifier and ensemble selection☆495Updated last year
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆527Updated 5 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 8 years ago
- ☆919Updated 2 years ago