Alternatives and similar repositories for ParameterImportance

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

• automl / HPOlib1.5
  ☆69Updated 5 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 6 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 2 months ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 11 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆71Updated 2 weeks ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• EFavDB / linselect
  ☆89Updated 7 years ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆124Updated last year
• vruvora / reinforcement-learning-kdd
  ☆42Updated 7 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• ArtificialIntelligenceToolkit / conx
  The On-Ramp to Deep Learning
  ☆97Updated last year
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago