Alternatives and similar repositories for infiniteboost

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

• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆86Updated 11 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆87Updated 10 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆225Updated 9 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆82Updated 10 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 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 7 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• alno / batch-learn
  ☆49Updated 7 years ago
• predict-idlab / GENESIM
  [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…
  ☆78Updated 4 years ago
• diefimov / otto_2015
  ☆30Updated 9 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
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆188Updated 6 years ago
• Cardal / Kaggle_WestNileVirus
  Winning solution for the Kaggle "West Nile Virus" competition (2015)
  ☆30Updated 10 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 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
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 2 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆118Updated 6 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 9 months ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆247Updated 5 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 4 years ago