EpistasisLab / pmlb
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
☆820Updated 3 weeks ago
Alternatives and similar repositories for pmlb:
Users that are interested in pmlb are comparing it to the libraries listed below
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- ☆756Updated last year
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- ML-Ensemble – high performance ensemble learning☆852Updated last year
- [HELP REQUESTED] Generalized Additive Models in Python☆889Updated 9 months ago
- Hyper-parameter optimization for sklearn☆1,613Updated this week
- ☆913Updated 2 years ago
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- A Python library for dynamic classifier and ensemble selection☆484Updated 11 months ago
- machine learning with logical rules in Python☆631Updated last year
- Python implementation of the rulefit algorithm☆418Updated last year
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,268Updated last year
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆503Updated 7 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,414Updated last month
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 4 years ago
- python partial dependence plot toolbox☆852Updated 6 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated 2 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,557Updated 7 months ago
- Open Machine Learning☆683Updated 3 months ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- WTTE-RNN a framework for churn and time to event prediction☆771Updated 4 years ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,645Updated 4 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,441Updated 2 weeks ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆530Updated 5 years ago
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆689Updated 2 years ago
- Tools for causal analysis☆1,072Updated last week
- OpenML's Python API for a World of Data and More 💫☆291Updated this week
- Python implementation of the conformal prediction framework.☆456Updated 4 years ago