Alternatives and similar repositories for rep

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

• dnouri / nolearn
  Combines the ease of use of scikit-learn with the power of Theano/Lasagne
  ☆955Updated 2 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 8 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆569Updated last year
• jaberg / skdata
  Data sets for machine learning in Python
  ☆476Updated 8 years ago
• EducationalTestingService / skll
  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  ☆558Updated 3 months ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆774Updated last year
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆645Updated last month
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆877Updated 5 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆423Updated last year
• kvh / ramp
  Rapid Machine Learning Prototyping in Python
  ☆655Updated 9 years ago
• facebookarchive / bootstrapped
  Generate bootstrapped confidence intervals for A/B testing in Python.
  ☆637Updated 5 years ago
• ploomber / sklearn-evaluation
  Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
  ☆468Updated 6 months ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• ianozsvald / data_science_delivered
  Observations from Ian on successfully delivering data science products
  ☆543Updated 4 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆227Updated 4 months ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆239Updated 6 years ago
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆970Updated this week
• aigamedev / scikit-neuralnetwork
  Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
  ☆1,207Updated 4 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
• itdxer / neupy
  NeuPy is a Tensorflow based python library for prototyping and building neural networks
  ☆737Updated 9 months ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆501Updated 7 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,268Updated 7 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 7 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆207Updated 7 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆872Updated 2 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 7 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,319Updated 2 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆464Updated 2 years ago