Alternatives and similar repositories for TransferRandomForest

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

• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated last year
• paobranco / ImbalancedLearningRegression
  Imbalanced Learning Regression
  ☆41Updated last month
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆67Updated 7 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆44Updated 6 years ago
• jafetgado / resreg
  Resampling strategies for regression
  ☆27Updated 4 years ago
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 3 years ago
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆68Updated 4 months ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆186Updated 5 years ago
• suinleelab / DeepSHAP
  Experiments for DeepSHAP paper.
  ☆18Updated 2 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆90Updated 5 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆182Updated 3 years ago
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆333Updated last year
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆132Updated last year
• iancovert / dl-selection
  Feature selection for deep learning models.
  ☆13Updated 4 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆165Updated 2 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆47Updated last month
• B-Analytics / diPLSlib
  Python implementation of domain-invariant partial least squares regression (di-PLS)
  ☆21Updated last week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• oulenz / fuzzy-rough-learn
  A library of fuzzy rough machine learning algorithms
  ☆30Updated last month
• nealjean / coreg
  Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.
  ☆60Updated 6 years ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆81Updated 3 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago