Alternatives and similar repositories for oboe

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

• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated last year
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• datamllab / autokaggle
  Automated Machine Learning (AutoML) for Kaggle Competition
  ☆32Updated last year
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• giladkatz / ExploreKit
  ☆74Updated 6 years ago
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• automl / fanova
  Functional ANOVA
  ☆124Updated 2 months ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 9 months ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆161Updated 3 years ago
• automl / pylearningcurvepredictor
  predicting learning curves in python
  ☆43Updated 8 years ago
• charliermarsh / online_boosting
  A suite of boosting algorithms for the online learning setting.
  ☆66Updated 7 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 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