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
  ☆75Updated 5 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆232Updated last year
• bbalasub1 / glmnet_python
  ☆203Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆99Updated last year
• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆136Updated last year
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆40Updated 3 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆185Updated 5 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆181Updated 6 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆129Updated 5 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆217Updated 9 months ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 3 years ago
• sergeyf / SmallDataBenchmarks
  Small Dataset Benchmarks on the Dataset of Datasets UCI++
  ☆89Updated 3 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆40Updated last year
• adriennekline / psmpy
  propensity score matching in python
  ☆58Updated 2 months ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆25Updated 4 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 6 months ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated 11 months ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆94Updated 11 months ago
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆141Updated 2 years ago
• miicTeam / miic_R_package
  Learning causal or non-causal graphical models using information theory
  ☆31Updated last month
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆47Updated 4 years ago