Alternatives and similar repositories for hyperparameter_hunter:

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

• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆855Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 4 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆699Updated last month
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆692Updated 8 months ago
• h2oai / pystacknet
  ☆289Updated 3 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,514Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,622Updated 2 weeks ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆284Updated last week
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆487Updated last year
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆517Updated 6 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆853Updated 8 months ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,556Updated 5 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆650Updated 2 years ago
• andosa / treeinterpreter
  ☆757Updated last year
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆486Updated 4 years ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,635Updated last year
• lopusz / awesome-interpretable-machine-learning
  ☆916Updated 2 years ago
• HDI-Project / ATM
  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
  ☆529Updated 5 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• DataSystemsGroupUT / AutoML_Survey
  ☆204Updated 5 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,443Updated last month
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,645Updated 4 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 4 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago