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
  ☆490Updated 8 years ago
• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆953Updated 2 years ago
• jaberg / skdata
  Data sets for machine learning in Python
  ☆477Updated 8 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆573Updated last month
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆561Updated 6 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• kvh / ramp
  Rapid Machine Learning Prototyping in Python
  ☆656Updated 10 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 10 months ago
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆648Updated 5 months ago
• facebookarchive / bootstrapped
  Generate bootstrapped confidence intervals for A/B testing in Python.
  ☆638Updated 6 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆241Updated 7 years ago
• ianozsvald / data_science_delivered
  Observations from Ian on successfully delivering data science products
  ☆543Updated 4 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆365Updated 8 years ago
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆183Updated 2 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆876Updated 5 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆873Updated 3 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,267Updated 7 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆230Updated 8 months ago
• jxieeducation / DIY-Data-Science
  Machine Learning Tool Guides and Theory Notes
  ☆424Updated 9 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆554Updated 3 years ago
• ottogroup / palladium
  Framework for setting up predictive analytics services
  ☆488Updated 2 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,319Updated 2 years ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆342Updated 2 years ago
• rewonc / pastalog
  Simple, realtime visualization of neural network training performance.
  ☆421Updated 8 years ago
• tburmeister / pyneural
  ☆212Updated 9 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago