Alternatives and similar repositories for ImbalancedLearningRegression:

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

• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆328Updated last year
• SteiMi / denseweight
  The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphas…
  ☆38Updated 3 years ago
• suinleelab / DeepSHAP
  Experiments for DeepSHAP paper.
  ☆18Updated 2 years ago
• nunompmoniz / IRon
  R Package for Imbalanced Regression
  ☆19Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago
• konstantinklemmer / pe-gnn
  PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"
  ☆53Updated last year
• monte-flora / scikit-explain
  A user-friendly python package for computing and plotting machine learning explainability output.
  ☆39Updated 6 months ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• konstantinklemmer / spate-gan
  SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
  ☆25Updated 2 years ago
• B-Analytics / diPLSlib
  Python implementation of domain-invariant partial least squares regression (di-PLS)
  ☆21Updated 2 weeks ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆106Updated last week
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 3 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆90Updated 2 weeks ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆62Updated 3 weeks ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• AtrCheema / AI4Water
  framework for developing machine (and deep) learning models for structured data
  ☆69Updated 3 weeks ago
• Luke3D / TransferRandomForest
  Implementation of the SER-STRUCT algorithm to perform Transfer Learning in Random Forest
  ☆33Updated 8 years ago
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆32Updated 3 years ago
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆76Updated 3 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• BioSpecNorway / EMSA
  Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra
  ☆13Updated 4 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆297Updated 9 months ago
• yandex-research / GBDT-uncertainty
  ☆57Updated 10 months ago
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆128Updated last year
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆65Updated 2 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆64Updated 3 weeks ago