Alternatives and similar repositories for openml-python

Users that are interested in openml-python are comparing it to the libraries listed below

• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆287Updated 11 months ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆333Updated 4 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated last month
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• openml / OpenML
  Open Machine Learning
  ☆692Updated last month
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 5 months ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆196Updated 2 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 6 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆467Updated 3 months ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆319Updated 4 years ago
• paypal / autosklearn-zeroconf
  autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…
  ☆170Updated 5 years ago
• uber / bayesmark
  Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
  ☆148Updated 3 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆211Updated 6 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆151Updated last month
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆938Updated 3 weeks ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 9 months ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆102Updated 3 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated last month