PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
☆855Feb 25, 2025Updated last year
Alternatives and similar repositories for pmlb
Users that are interested in pmlb are comparing it to the libraries listed below
Sorting:
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Oct 25, 2017Updated 8 years ago
- A living benchmark framework for symbolic regression☆294Oct 21, 2025Updated 4 months ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Jun 10, 2025Updated 8 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,049Sep 11, 2025Updated 5 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Feb 10, 2023Updated 3 years ago
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆68Feb 12, 2026Updated 2 weeks ago
- OpenML AutoML Benchmarking Framework☆450Updated this week
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,266Jun 6, 2018Updated 7 years ago
- Performance of various open source GBM implementations☆224Feb 17, 2026Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Feb 10, 2026Updated 2 weeks ago
- Datasets and notebooks☆13Oct 26, 2016Updated 9 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,116Jan 24, 2026Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆6,150Feb 16, 2026Updated last week
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,432Aug 20, 2024Updated last year
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆57Sep 26, 2025Updated 5 months ago
- ☆69Aug 5, 2020Updated 5 years ago
- Automated Machine Learning with scikit-learn☆8,058Jan 20, 2026Updated last month
- a feature engineering wrapper for sklearn☆52Jun 11, 2020Updated 5 years ago
- A Python tool that automatically cleans data sets and readies them for analysis.☆1,077May 22, 2019Updated 6 years ago
- Lime: Explaining the predictions of any machine learning classifier☆12,101Jul 25, 2024Updated last year
- Fast Function Extraction☆86Jul 6, 2025Updated 7 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,082Feb 2, 2026Updated 3 weeks ago
- Genetic neural architecture search with Keras☆952May 25, 2023Updated 2 years ago
- C++ Large Scale Genetic Programming☆200Feb 12, 2026Updated 2 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,802Updated this week
- open-source feature selection repository in python☆1,565Jul 11, 2024Updated last year
- Tuning hyperparams fast with Hyperband☆597Aug 15, 2018Updated 7 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,845Mar 18, 2024Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆25,072Feb 20, 2026Updated last week
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,658Feb 10, 2021Updated 5 years ago
- Meta-learning approach for human-interpretable formulas generation☆10Apr 24, 2020Updated 5 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,811Feb 23, 2024Updated 2 years ago
- Visualizations for machine learning datasets☆7,368May 24, 2023Updated 2 years ago
- Genetic Programming in Python, with a scikit-learn inspired API☆1,816Jan 10, 2026Updated last month
- An open source python library for automated feature engineering☆7,614Feb 3, 2026Updated 3 weeks ago
- Confidence intervals for scikit-learn forest algorithms☆290Apr 20, 2025Updated 10 months ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆81Nov 4, 2024Updated last year
- A deep learning framework for symbolic optimization.☆708Jan 23, 2026Updated last month