Alternatives and similar repositories for scikit-learn-intelex

Users that are interested in scikit-learn-intelex are comparing it to the libraries listed below

• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆550Updated 2 years ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,376Updated last month
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,177Updated last week
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆321Updated 8 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,566Updated last month
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆841Updated this week
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆677Updated 10 months ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,545Updated this week
• ARM-software / mango
  Parallel Hyperparameter Tuning in Python
  ☆416Updated 10 months ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆854Updated 11 months ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,171Updated 3 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,503Updated this week
• arvkevi / kneed
  Knee point detection in Python
  ☆801Updated 3 months ago
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,135Updated 2 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆641Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆789Updated 2 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆584Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,611Updated 2 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,818Updated last month
• tensorflow / decision-forests
  A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
  ☆692Updated last month
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆614Updated 8 months ago
• onnx / sklearn-onnx
  Convert scikit-learn models and pipelines to ONNX
  ☆610Updated 2 months ago
• optuna / optuna-dashboard
  Real-time Web Dashboard for Optuna.
  ☆729Updated this week
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆617Updated last year
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,607Updated 2 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,807Updated last year
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,474Updated last month
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated last week