Alternatives and similar repositories for cyclic-boosting

Users that are interested in cyclic-boosting are comparing it to the libraries listed below

• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated last week
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated this week
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated 2 weeks ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated last week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆116Updated 3 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆71Updated last month
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• azukds / tubular
  Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
  ☆86Updated this week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 11 months ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 2 weeks ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆61Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆295Updated this week
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 2 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆366Updated last week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆212Updated 3 months ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 3 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 2 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated last month