Scientific Software
Updated 6 months ago

Nimbus — Peer-reviewed • Rank 16.2 • Science 98%

Nimbus: a Ruby gem to implement Random Forest algorithms in a genomic selection context - Published in JOSS (2017)

Engineering (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 6 months ago

quantile-forest — Peer-reviewed • Rank 16.5 • Science 93%

quantile-forest: A Python Package for Quantile Regression Forests - Published in JOSS (2024)

Scientific Software
Updated 6 months ago

BetaML — Peer-reviewed • Rank 10.5 • Science 95%

BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia - Published in JOSS (2021)

Scientific Software
Updated 6 months ago

rrcf — Peer-reviewed • Rank 8.2 • Science 95%

rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams - Published in JOSS (2019)

Updated 6 months ago

treeple • Rank 13.4 • Science 67%

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Updated 6 months ago

random-survival-forest • Rank 10.1 • Science 64%

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Updated 6 months ago

yggdrasil-decision-forests • Rank 21.5 • Science 49%

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Updated 6 months ago

comparative_ml_analysis_bioinformatics • Rank 0.7 • Science 67%

A comprehensive analysis of gene expression data using machine learning techniques in Python and R, focusing on predictive modeling and data visualization

Updated 6 months ago

h2o • Rank 27.7 • Science 36%

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Scientific Software
Updated 6 months ago

aorsf — Peer-reviewed • Rank 13.7 • Science 49%

aorsf: An R package for supervised learning using the oblique random survival forest - Published in JOSS (2022)

Scientific Software · Peer-reviewed
Updated 6 months ago

dtreeviz • Rank 24.2 • Science 36%

A python library for decision tree visualization and model interpretation.

Updated 6 months ago

missRanger • Rank 17.1 • Science 39%

Fast multivariate imputation by random forests.

Scientific Software
Updated 6 months ago

edarf — Peer-reviewed • Rank 5.6 • Science 49%

edarf: Exploratory Data Analysis using Random Forests - Published in JOSS (2016)

Scientific Software · Peer-reviewed
Updated 6 months ago

randomForestExplainer • Rank 13.9 • Science 33%

A set of tools to understand what is happening inside a Random Forest

Updated 6 months ago

arboreto • Rank 14.2 • Science 26%

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Updated 6 months ago

plncpro • Rank 5.6 • Science 23%

A machine learning model for the prediction of lncRNAs (Singh et. al NAR 2017)

Updated 6 months ago

rfUtilities • Rank 10.0 • Science 13%

R package for random forests model selection, inference, evaluation and validation

Updated 6 months ago

tree.interpreter • Rank 9.7 • Science 10%

Decision tree interpreter for randomForest/ranger as described in

Updated 6 months ago

secimtools • Rank 8.9 • Science 10%

A set of metabolomics tools for use in Galaxy

Updated 6 months ago

RfEmpImp • Rank 7.5 • Science 10%

Multiple Imputation using Chained Random Forests

Updated 6 months ago

imesc • Science 44%

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

Updated 5 months ago

https://github.com/cn-tu/ids-backdoor • Science 10%

Contact: Maximilian Bachl, Alexander Hartl. Explores defenses against backdoors and poisoning attacks for Intrusion Detection Systems. Code for "EagerNet" is in the "eager" branch.

Updated 6 months ago

fraud-detection-transaction-data • Science 26%

Pipeline for analyzing fraud in card transaction data-sets with an addition of graph features, modeled using Random Forest

Updated 6 months ago

breast_cancer_diagnosis_ml • Science 57%

This project demonstrates the use of machine learning models to predict breast cancer diagnoses. The repository covers the entire workflow from data preprocessing and feature engineering to model training and evaluation, providing insights into diagnosis prediction with various ML models.

Updated 5 months ago

https://github.com/comp-physics/quantum-hrf-tomography • Science 36%

Reconstructing real-valued quantum states using Hadamard Random Forest (HRF) tomography 

Updated 6 months ago

fgclustering • Science 65%

Explainability for Random Forest Models.

Updated 6 months ago

ml_individual_tree_mortality • Science 49%

Does Machine Learning outperform Logistic Regression in predicting individual tree mortality? - code and data

Updated 6 months ago

workshop-random-forests • Science 44%

UNSW codeRs workshop: Introduction to Classification Trees and Random Forests in R. These documents will walk you through examples to fit classification trees and random forest models in R.

Updated 6 months ago

prophitbet-soccer-bets-predictor • Science 54%

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Updated 6 months ago

pye-plus • Science 57%

Multi-Criteria Decision Making (MCDM) Framework for Building Energy Systems with Expedited Computation using Machine Learning (ML) Techniques

Updated 5 months ago

https://github.com/cmcc-foundation/cmcc-hybrid-estuaryboxmodel • Science 36%

CMCC-Hybrid-EBM collects all the experiments releated to the estimation of salt-wedge intrusion length and salinity concentration using hybrid and machine learning based approaches.

Updated 6 months ago

varca • Science 75%

Use an ensemble of variant callers to call variants from ATAC-seq data

Updated 6 months ago

supertree • Science 31%

Visualize decision trees in Python

Updated 6 months ago

https://github.com/amr-yasser226/intrusion-detection-kaggle • Science 26%

End-to-end pipeline for multi-class cyber-attack detection using per-flow network features: data profiling, deduplication, skew-correction, outlier treatment, feature engineering, imbalance handling, and tree-based modeling (XGBoost, LightGBM, CatBoost, stacking), with a final Kaggle submission scoring 0.9146 public / 0.9163 private.

Updated 6 months ago

poprf • Science 23%

Random Forest-informed Population Disaggregation R package

Updated 6 months ago

trump-speech-analysis • Science 44%

Statistical patterns in political rhetoric: The quantitative analysis of Donald Trump's 2024 election campaign speeches