Projects in Awesome Lists tagged with random-forests

https://github.com/juliaai/decisiontree.jl

Julia implementation of Decision Tree (CART) and Random Forest algorithms

classification decision-tree julia machine-learning random-forests regression

Last synced: 16 May 2025

https://github.com/PacktWorkshops/The-Python-Workshop

A New, Interactive Approach to Learning Python

algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types

Last synced: 05 May 2025

https://github.com/packtworkshops/the-python-workshop

A New, Interactive Approach to Learning Python

algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types

Last synced: 04 Apr 2025

https://github.com/farrellday/miceranger

miceRanger: Fast Imputation with Random Forests in R

imputation-methods machine-learning mice missing-data missing-values r random-forests

Last synced: 07 Mar 2026

https://github.com/FarrellDay/miceRanger

miceRanger: Fast Imputation with Random Forests in R

imputation-methods machine-learning mice missing-data missing-values r random-forests

Last synced: 13 Jul 2025

https://github.com/jjfiv/fastrank

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

coordinate-ascent learning-to-rank machine-learning random-forests ranklib rust

Last synced: 24 Oct 2025

https://github.com/neurodata/proglearn

NeuroData's package for exploring and using progressive learning algorithms

classification continual-learning decision-trees deep-learning deep-neural-networks domain-adaptation random-forests transfer-learning

Last synced: 04 Apr 2025

https://github.com/csinva/disentangled-attribution-curves

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

ai artificial-intelligence boosting ensemble-model explainable-ai feature-engineering feature-importance interpretability machine-learning ml python random-forest random-forests scikit-learn statistics stats

Last synced: 05 May 2025

https://github.com/neurodata/df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

classification decision-trees deep-learning deep-neural-networks machine-learning random-forests

Last synced: 21 Aug 2025

https://github.com/unixjunkie/orf

OCaml Random Forests

bagging bootstrap-aggregation classification machine-learning ocaml-library out-of-bag random-forests regression statistical-modeling

Last synced: 21 Aug 2025

https://github.com/trainingbypackt/the-python-workshop

Become a proficient, productive and powerful programmer with Python

cython gridsearchcv histogram histograms logistic-regression machine-learning numpy pandas python python37 pytorch random-forests

Last synced: 10 Apr 2025

https://github.com/biogenies/cancergram

Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.

anticancer-peptides bioinformatics k-mer n-gram peptide-identification r-package random-forests

Last synced: 03 Mar 2026

https://github.com/jjfiv/poetry-identification

Poetry Identification Code from my dissertation runs on zip files containing DJVUXML from the Internet Archive.

digital-humanities djvuxml internet-archive machine-learning poetry random-forests

Last synced: 26 Aug 2025

https://github.com/forestry-labs/rforestry

bagging boosting causal-inference interpretability machine-learning monotonic-constraints r r-package random-forest random-forests trees

Last synced: 10 Apr 2025

https://github.com/jesussantana/ibm-machine-learning-with-python

This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language

clustering data-science decision-trees dimensionality-reduction machine-learning python random-forests regression-models unsupervised-learning

Last synced: 14 May 2026

https://github.com/jaydu1/ensemble-cross-validation

Cross-validation methods designed for ensemble learning

cross-validation ensemble-learning model-selection random-forests

Last synced: 21 Jan 2026

https://github.com/mohammadvhossein/ml-gym

The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.

classification-algorithms clustering-methods cross-validation data-preprocessing data-science decision-trees feature-engineering machine-learning model-evaluation neural-networks python-programming random-forests regression-techniques scikit-learn supervised-learning unsupervised-learning