Alternatives and similar repositories for ngboost

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

• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,600Updated last month
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆679Updated last week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,472Updated 2 weeks ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,648Updated 8 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
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,559Updated last month
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated this week
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆854Updated 10 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,024Updated 6 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,173Updated last month
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated last month
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,698Updated last month
• 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
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆940Updated this week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,805Updated last year
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆649Updated 3 weeks ago
• pytorch-tabular / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,611Updated last month
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,881Updated last year
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,451Updated 2 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated last year
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 8 months ago
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆3,077Updated this week
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,600Updated 2 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 2 weeks ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,498Updated this week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆549Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆432Updated 2 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated 2 years ago