A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
☆213Oct 25, 2017Updated 8 years ago
Alternatives and similar repositories for sklearn-benchmarks
Users that are interested in sklearn-benchmarks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆855Feb 25, 2025Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Jun 10, 2025Updated 9 months ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Aug 11, 2017Updated 8 years ago
- A tool that evolves small brains capable of scanning and classifying an image.☆14Jul 25, 2016Updated 9 years ago
- A Python tool that automatically cleans data sets and readies them for analysis.☆1,080May 22, 2019Updated 6 years ago
- Advanced Scikit-learn training session☆119Jun 9, 2016Updated 9 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆467Feb 27, 2025Updated last year
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Jun 3, 2016Updated 9 years ago
- Datasets and notebooks☆13Oct 26, 2016Updated 9 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Aug 20, 2024Updated last year
- Compiled Decision Trees for scikit-learn☆229Apr 25, 2025Updated 10 months ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Feb 27, 2017Updated 9 years ago
- Notes and code for the workshop "Rule-Based Models for Regression and Classification”☆13May 21, 2016Updated 9 years ago
- Helpers for constructing scikit-learn grid search☆39Feb 16, 2020Updated 6 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,816Feb 23, 2024Updated 2 years ago
- Scikit-learn quickstart tutorial for Webstep☆19May 4, 2017Updated 8 years ago
- Scikit-learn tutorial at SciPy2016☆519Mar 13, 2019Updated 7 years ago
- ☆10Aug 25, 2015Updated 10 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆51Apr 1, 2015Updated 10 years ago
- OpenML's Python API for a World of Data and More 💫☆343Mar 16, 2026Updated last week
- Machine Learning toolbox for Humans☆700Jul 31, 2024Updated last year
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Feb 15, 2017Updated 9 years ago
- Data sets for machine learning in Python☆477Jul 27, 2017Updated 8 years ago
- A benchmark to evaluate popular CASH and AutoML frameworks☆16Mar 25, 2024Updated last year
- Code and data for "The Geometry of Classifiers"☆26Jun 22, 2020Updated 5 years ago
- ☆45May 24, 2019Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- Regional Energy Analyst, the first data-driven software for the analysis of the future energy consumption of buildings across sectors, ci…☆15Jan 28, 2020Updated 6 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- Instant access to many datasets in Python.☆940Mar 25, 2022Updated 3 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆226Nov 20, 2019Updated 6 years ago
- ☆55Feb 5, 2016Updated 10 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Oct 13, 2018Updated 7 years ago
- Describe your scikit-learn estimators for posterity!☆15Dec 22, 2016Updated 9 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,124Jan 24, 2026Updated last month
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Feb 10, 2023Updated 3 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,168Aug 30, 2021Updated 4 years ago
- Fast Genetic Programming☆11Oct 10, 2019Updated 6 years ago
- Fast Function Extraction☆86Jul 6, 2025Updated 8 months ago