Alternatives and similar repositories for iterative-Random-Forest

Users that are interested in iterative-Random-Forest are comparing it to the libraries listed below

• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• bbalasub1 / glmnet_python
  ☆208Updated 2 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆131Updated 5 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆239Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆103Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• adriennekline / psmpy
  propensity score matching in python
  ☆60Updated 2 months ago
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆78Updated 5 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆157Updated 2 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆183Updated 7 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆79Updated 5 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆232Updated 4 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆140Updated last year
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆190Updated 6 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• dominance-analysis / dominance-analysis
  This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given datase…
  ☆169Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• ErikinBC / SurvSet
  ☆63Updated 8 months ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆42Updated 3 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆177Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆44Updated 3 years ago
• JingyuHe / XBART
  ☆93Updated last year
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆46Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆284Updated last week