Alternatives and similar repositories for sklearn-compiledtrees:

Users that are interested in sklearn-compiledtrees are comparing it to the libraries listed below

• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• mirri66 / xgbmagic
  ☆190Updated last year
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆240Updated 6 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• CoAxLab / DeBaCl
  Density Based Clustering (DeBaCl) Toolbox
  ☆101Updated 4 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆418Updated last year
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• alex-pirozhenko / sklearn-pmml
  A library that allows serialization of SciKit-Learn estimators into PMML
  ☆70Updated 5 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• better / crossfader
  Autoencoders to find structure in arbitrary datasets
  ☆122Updated 9 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆488Updated 7 years ago
• tburmeister / pyneural
  ☆212Updated 8 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• josephreisinger / vowpal_porpoise
  lightweight python wrapper for vowpal wabbit
  ☆168Updated 5 years ago
• bolt-project / bolt
  Unified interface for local and distributed ndarrays
  ☆157Updated 6 years ago
• lmc2179 / pysterior
  Bayesian supervised learning in Python
  ☆21Updated 9 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 7 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆151Updated 4 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• vitruvianscience / OpenDeep
  Modular & extensible deep learning framework built on Theano.
  ☆210Updated 2 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆182Updated 2 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• spartan-array / spartan
  Distributed Numpy
  ☆148Updated 7 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆294Updated 9 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 5 years ago