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#random-forest

  1. changeforest

    Random Forests for Change Point Detection

    v1.2.1 950 #change-point-detection #random-forest #classification #machine-learning #time-series #parametric-model #changepoint #probability-distribution
  2. ghostflow-ml

    Classical ML algorithms for GhostFlow

    v1.0.0 #classification #svm #machine-learning #random-forest
  3. rafor

    Fast Random Forest library

    v0.3.0 #random-forest #decision-tree #ml
  4. biosphere

    fast random forests

    v0.4.2 150 #random-forest #decision-tree #ensemble #machine-learning
  5. xrf

    Generic library to build Random Forest implementations

    v0.1.1 #random-forest #ml
  6. sklears-ensemble

    Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost

    v0.1.0-beta.1 #random-forest #ensemble #gradient-boosting #machine-learning
  7. randomforest

    Random forest regressor and classifier

    v0.1.6 #classification #table-builder #regressor #criterion #mse #0-0
  8. dendritic-trees

    Pacakge for tree based modeling

    v1.5.0 #decision-tree #random-forest #dendritic #dataset #classification #machine-learning #min-max #bootstrap #multi-dimensional-array
  9. imbalanced-ensemble

    Ensemble methods for imbalanced learning in Rust - Balanced Random Forest and more

    v0.1.0 #random-forest #machine-learning #ensemble #imbalanced #bagging
  10. Try searching with DuckDuckGo.

  11. forester

    implementing various flavors of random forests and decision trees

    v0.0.3 #decision-tree #random-forest #machine-learning #ensemble
  12. stamm

    implementing custom decision trees and random forests

    v0.2.0 #decision-tree #random-forest
  13. shogun

    bindings for Rust

    v0.1.1 #bindings #machine-learning-framework #internal #build #limit #random-forest
  14. redwood

    A fast decision forest library

    v0.1.0 #classification #decision-forest #random-forest #decision #regression
  15. redwood_cli

    A fast decision forest command line application

    v0.1.0 #classification #decision-forest #random-forest #decision #regression