Alternatives and similar repositories for speedml

Users that are interested in speedml are comparing it to the libraries listed below

• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆227Updated 7 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
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆320Updated 4 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆128Updated 2 years ago
• EFavDB / linselect
  ☆89Updated 7 years ago
• dask / dask-xgboost
  ☆162Updated 4 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 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
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆557Updated last month
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• GaelVaroquaux / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆131Updated 13 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 8 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆268Updated 5 years ago
• jgreenemi / Parris
  Parris, the automated infrastructure setup tool for machine learning algorithms.
  ☆313Updated 7 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• amirziai / sklearnflask
  Flask API for training and predicting using scikit learn models
  ☆297Updated 2 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆335Updated 4 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 5 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆182Updated 2 years ago
• mbernico / snape
  Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism…
  ☆167Updated 5 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆131Updated 5 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆239Updated 6 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆87Updated 10 years ago