Alternatives and similar repositories for parfit

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

• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆87Updated 10 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆335Updated 4 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
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 9 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• EFavDB / linselect
  ☆89Updated 7 years ago
• KeremTurgutlu / deeplearning
  ☆158Updated 6 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 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
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 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 7 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 4 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 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
• jph00 / part2
  ☆144Updated 7 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• XiaoxiaoWang87 / xgboost_mono_test
  ☆13Updated 8 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago