Alternatives and similar repositories for anomalous

Users that are interested in anomalous are comparing it to the libraries listed below

• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 7 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• vertica / ddR
  Standard API for Distributed Data Structures in R
  ☆118Updated 7 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• h2oai / rsparkling
  RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
  ☆62Updated 7 years ago
• jpmml / r2pmml
  R library for converting R models to PMML
  ☆74Updated 6 months ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆120Updated 7 years ago
• szilard / benchm-databases
  A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (inte…
  ☆89Updated 8 years ago
• klarsen1 / bstspost
  ☆88Updated 9 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 6 years ago
• hadley / bigvis
  Exploratory data analysis for large datasets (10-100 million observations)
  ☆290Updated 10 years ago
• ricardo-bion / medium_visualization
  ☆85Updated 8 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆146Updated last year
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 7 months ago
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆48Updated 3 years ago
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 5 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 8 months ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• rstudio / sparkDemos
  ☆53Updated 7 years ago
• chrisrzhou / RShiny-EC2Bootstrap
  R Shiny EC2 Bootstrap Guide
  ☆81Updated 5 years ago
• robjhyndman / MEFM-package
  R package to implement the MEFM
  ☆55Updated last year
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 7 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 9 years ago
• WLOGSolutions / retail-segmentation-based-marketing-campaing-in-r-and-h2o
  Showcase for using H2O and R for scoring for marketing campaign in retail
  ☆54Updated 7 years ago