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 2 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated 3 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 4 months ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆334Updated 6 months ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• openml / OpenML
  Open Machine Learning
  ☆702Updated 2 weeks ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated 3 months ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 5 months ago
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated 2 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆197Updated last month
• 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
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 7 months ago
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 7 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 11 months ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆319Updated 4 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆941Updated 2 months ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆191Updated 3 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆190Updated 2 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆432Updated this week
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 years ago