Alternatives and similar repositories for smote_is_what_you_dont_need:

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

• valeman / Awesome_CatBoost
  The repository to showcase the best framework for tabular data - the Awesome CatBoost
  ☆233Updated last month
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆156Updated 7 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated last week
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆26Updated last week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆25Updated 3 months ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆66Updated this week
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆39Updated last month
• MichelLutz1994 / Conformal_Prediction
  This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…
  ☆19Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆109Updated last week
• ran-xie / boosted-conformal
  ☆39Updated 4 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆43Updated 2 weeks ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 3 months ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆213Updated last year
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆143Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆45Updated 2 years ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆50Updated last year
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆174Updated this week
• yubin-park / califorest
  Calibrated Random Forests
  ☆39Updated 4 years ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 4 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆137Updated 9 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 8 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated this week
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆47Updated last week
• harrisp / GPyConform
  ☆49Updated 5 months ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆21Updated 2 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• tunguz / TabularBenchmarks
  ☆199Updated this week