Alternatives and similar repositories for BlueCast

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

• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 9 months ago
• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆238Updated 3 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆181Updated last month
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated last month
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• sb-ai-lab / Py-Boost
  Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
  ☆181Updated last week
• OpenTabular / DeepTabular
  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…
  ☆238Updated last week
• Matt-OP / hillclimbers
  A python module that uses hill climbing to iteratively blend machine learning model predictions.
  ☆54Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆232Updated this week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 4 months ago
• yandex-research / tabm
  (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
  ☆398Updated 2 weeks ago
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆49Updated 2 years ago
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆86Updated this week
• harrisp / GPyConform
  ☆49Updated 6 months ago
• valeman / smote_is_what_you_dont_need
  The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems
  ☆46Updated 3 months ago
• sb-ai-lab / tsururu
  ☆39Updated last week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 3 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆189Updated this week
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆158Updated 2 years ago
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆569Updated this week
• tblume1992 / MFLES
  ☆115Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆75Updated 3 weeks ago
• MobileTeleSystems / CoolGraph
  Make GNN easy to start with
  ☆130Updated last week