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.
  ☆1,613Updated 2 months ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆862Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆684Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆643Updated last year
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆856Updated 11 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 9 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆862Updated 2 years ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,568Updated 2 months ago
• dreamquark-ai / tabnet
  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
  ☆2,895Updated last year
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,476Updated 3 weeks ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,028Updated 7 months ago
• feature-engine / feature_engine
  Feature engineering and selection open-source Python library compatible with sklearn.
  ☆2,185Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆537Updated 3 weeks ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆945Updated last week
• 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
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,455Updated last week
• pytorch-tabular / pytorch_tabular
  A unified framework for Deep Learning Models on tabular data
  ☆1,623Updated this week
• 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…
  ☆1,711Updated 2 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,506Updated last week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,380Updated last week
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆517Updated 5 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆583Updated last year
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆653Updated this week
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆701Updated 2 months ago
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,263Updated 2 weeks ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆357Updated last month
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆658Updated 2 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated last week
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆510Updated last month
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,607Updated 3 months ago