Alternatives and similar repositories for speedml:

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

• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 7 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆319Updated 4 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆516Updated 6 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• polyaxon / traceml
  Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
  ☆512Updated last month
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 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…
  ☆171Updated 5 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆134Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆487Updated 7 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆211Updated 7 years ago
• EFavDB / linselect
  ☆89Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• studioml / studio
  Studio: Simplify and expedite model building process
  ☆381Updated 7 months ago
• HHammond / PrettyPandas
  A Pandas Styler class for making beautiful tables
  ☆416Updated 2 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
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆81Updated 3 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 5 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 9 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 8 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆130Updated 5 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆247Updated 6 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆333Updated 3 years ago