openml / openml-python
OpenML's Python API for a World of Data and More 💫
☆291Updated this week
Alternatives and similar repositories for openml-python:
Users that are interested in openml-python are comparing it to the libraries listed below
- A simple, extensible library for developing AutoML systems☆173Updated last year
- Open Machine Learning☆682Updated 3 months ago
- Confidence intervals for scikit-learn forest algorithms☆285Updated 8 months ago
- Data Analysis Baseline Library☆726Updated 3 months ago
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- scikit-learn contrib estimators☆194Updated last month
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 6 years ago
- A template for scikit-learn extensions☆330Updated last month
- OpenML AutoML Benchmarking Framework☆426Updated this week
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆465Updated 3 weeks 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
- ☆158Updated 2 years ago
- Repo for the ML_Insights python package☆150Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- scikit-learn-inspired time series☆200Updated last year
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 6 months ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆211Updated 7 years ago
- Scalable Machine Learning with Dask☆922Updated last month
- machine learning with logical rules in Python☆630Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆502Updated 7 months ago
- ☆69Updated 4 years ago
- optimization routines for hyperparameter tuning☆418Updated last year