Alternatives and similar repositories for rep:

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

• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆488Updated 7 years ago
• jaberg / skdata
  Data sets for machine learning in Python
  ☆474Updated 7 years ago
• kvh / ramp
  Rapid Machine Learning Prototyping in Python
  ☆651Updated 9 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆951Updated last year
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆965Updated last week
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆499Updated 7 years ago
• andosa / treeinterpreter
  ☆757Updated last year
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆567Updated last year
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆553Updated 3 months ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆517Updated 3 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆224Updated 10 months ago
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆646Updated last year
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆465Updated last month
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,312Updated 2 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆880Updated 4 years ago
• luispedro / milk
  MILK: Machine Learning Toolkit
  ☆603Updated 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
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,270Updated 6 years ago
• minrk / ipython_extensions
  My IPython extensions
  ☆429Updated 7 years ago
• Blosc / bcolz
  A columnar data container that can be compressed.
  ☆956Updated 2 years ago
• mirri66 / xgbmagic
  ☆190Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆427Updated 7 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,395Updated 7 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆458Updated last year
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆418Updated last year
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆182Updated 2 years ago
• paulgb / runipy
  Run IPython notebooks as command-line scripts, generate HTML reports
  ☆450Updated 6 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year