Alternatives and similar repositories for sklearn-porter

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

• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated last month
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,629Updated last month
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆856Updated last year
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,886Updated 6 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,771Updated last year
• andosa / treeinterpreter
  ☆760Updated last year
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,516Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,267Updated 6 years ago
• jpmml / sklearn2pmml
  Python library for converting Scikit-Learn pipelines to PMML
  ☆693Updated 2 weeks ago
• onnx / sklearn-onnx
  Convert scikit-learn models and pipelines to ONNX
  ☆584Updated this week
• BayesWitnesses / m2cgen
  Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, R…
  ☆2,879Updated 10 months ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,638Updated last year
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,178Updated 2 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,649Updated 4 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,317Updated 2 years ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,556Updated 5 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,571Updated 9 months ago
• automl / autoweka
  Auto-WEKA
  ☆336Updated 3 years ago
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆777Updated last year
• d6t / d6tflow
  Python library for building highly effective data science workflows
  ☆950Updated last year
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,265Updated last month
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated last month
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆700Updated 2 months 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
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆938Updated 3 weeks ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• jpmml / jpmml-sklearn
  Java library and command-line application for converting Scikit-Learn pipelines to PMML
  ☆538Updated 2 weeks ago