Alternatives and similar repositories for openml-python

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

• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 6 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆338Updated 9 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 6 months ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 8 months ago
• openml / OpenML
  Open Machine Learning
  ☆710Updated 3 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆187Updated 6 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated 3 weeks ago
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated last month
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆191Updated 3 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated 10 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆595Updated 7 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 8 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆437Updated this week
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 8 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆319Updated 5 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆191Updated 3 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 4 months ago
• IBM / lale
  Library for Semi-Automated Data Science
  ☆345Updated last week
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆120Updated 8 months ago