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Machine Learning in R

Caret ⭐ 1,523

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

mlr3: Machine Learning in R - next generation

Collection of various algorithms implemented in R.

Satellite image time series in R

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Foodborne_classifier ⭐ 235

The classifier used in the http://foodborne.smartchicagoapps.org/ application.

Autoquant ⭐ 227

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Data Science Toolkit ⭐ 185

Collection of stats, modeling, and data science tools in Python and R.

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Ggrandomforests ⭐ 133

Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.

Regtools ⭐ 118

Various tools for linear, nonlinear and nonparametric regression.

This is the implementation of Sparse Projection Oblique Randomer Forest

Ruimtehol ⭐ 95

R package to Embed All the Things! using StarSpace

Openml R ⭐ 90

R package to interface with OpenML

Mlr3learners ⭐ 85

Recommended learners for mlr3

An R package for common supervised machine learning metrics.

exploratory data analysis using random forests

Singlecellnet ⭐ 60

SingleCellNet: classify single cells across species and platforms

Model verification, validation, and error analysis

Lightgbm Rs ⭐ 58

LightGBM Rust binding

Fast k-Nearest Neighbors Classifier for Large Datasets

Auto ML for the tidyverse

The Elements Of Statistical Learning ⭐ 46

This repository contains R code for exercices and plots in the famous book.

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

Arulescba ⭐ 41

Classification Based on Association Rules in R

Recursive Partitioning and Regression Trees

Classifier to separate legitimate domains from those generated by a domain generating algorithm (DGA).

Tweetbotornot2 ⭐ 37

🔍🐦🤖 Detect Twitter Bots!

Fasttext ⭐ 37

R package for 'Efficient Learning of Word Representations and Sentence Classification'

Immunesubtypeclassifier ⭐ 35

An R package for classification of immune subtypes, in cancer, using gene expression data.

Connect R to MOA for massive online data stream mining

Extended Complexity Library in R

A portable and fast single cell type identifier

R package for estimating speaker style distinctiveness in texts. Install it from CRAN!

This R package implements the One Rule (OneR) Machine Learning classification algorithm with enhancements for sophisticated handling of numeric data and missing values together with extensive diagnostic functions.

Omicselector ⭐ 26

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

R Stats Machine Learning ⭐ 25

Misc Statistics and Machine Learning codes in R

Influential ⭐ 24

Identification and Classification of the Most Influential Nodes

The Fashion-MNIST dataset and machine learning models.

Concordance ⭐ 22

The R package for SVM with GPU architecture based on the GTSVM software

Weighted k-Nearest Neighbors

Multi-Calibration & Multi-Accuracy Boosting for R

Utilities for multi-label learning

Classification of Cases into Deterministic Categories

Elefhant ⭐ 17

Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classifiers 1) RF 2) SVM and 3) LR

Textlearnr ⭐ 16

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Taxonomic classification of viruses at Order and Family level

Conformal ⭐ 16

Conformal prediction in R

Machine Learning Bookcamp 2022 ⭐ 15

Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.

R interface to Vowpal Wabbit

Fuzzyforest ⭐ 14

[Under development] Random classification and regression trees

Lightweight Machine Learning Classics with R (Book Draft)

Rfutilities ⭐ 14

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

Machine Learning Templates ⭐ 13

Automatic knowledge classification based on keyword co-occurrrence network

Seaclass ⭐ 12

An Interactive R Tool for Classification Problems

Satellite Images Classification With Keras R ⭐ 12

Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification

Odsc_rules ⭐ 12

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

Randomforestforremotesensing ⭐ 12

Masters_thesis_on_global_terrorism ⭐ 11

Gitbook version: https://pr0x2b.github.io/masters_thesis_on_global_

High Dimensional Discriminant Analysis in R ✨

3d_deeplearning_for_hyperspectral_images ⭐ 11

Models used for our paper submission

feseR: Combining feature selection methods for analyzing omics data

Nomensland ⭐ 11

Package contenant des nomenclatures et classifications pour le pmsi

Keras_tensorflow_on_iris ⭐ 10

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

Maf Summary ⭐ 10

Summary of a single or multiple MAF files.

Torchdatasets ⭐ 10

Extra datasets for torch

R Package: ICD-10-GM Metadata

A R package for running Object-based Image Analysis and optimizing image segmentation parameters

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Regularized and Pruned Extreme Learning Machines in R

Satelliteimageclassification ⭐ 9

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

Any data but iris 👁

Intro To Machine Learning ⭐ 9

This is the course website for MATH 373: "Introduction to Machine Learning" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.

Lgfam Newick ⭐ 9

Language family classifications as Newick trees

Classyfire ⭐ 8

R package clasyfire

Self-Drive Machine Learning Projects

Bayesian Logistic Regression with Hyper-LASSO priors

An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.

Classification_churn_with_parsnip ⭐ 8

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

Synoptreg ⭐ 8

An R package to compute a synoptic climate classification and spatial regionalization of environmental data

Reverse correlation image classification using R

Machine Learning ⭐ 8

Basic Machine Learning Tutorial

An R package for the extraction, analysis and classification of (not only) archaeological objects from scanned images

Kkbox Data Game 17.06 ⭐ 8

Screclassify ⭐ 8

Post hoc cell type classification of single-cell RNA-sequencing data.

Simulating Supervised Learning Data

Ellipsoidquery ⭐ 7

A Novel Local Geometry Capture in Pointnet++ for 3D Classification

Classification of spatial patterns from environmental data through GRadient RECognition

R package for data complexity measures for imbalanced classification tasks

Bayesian Efficient Multiple Kernel Learning

Statisticalmodeling ⭐ 7

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

Privateec ⭐ 7

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

Portfolio ⭐ 7

Drug Repurposing in Alzheimer's Disease

Association Rule Classification

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