Alternatives and similar repositories for cheapml

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

• mayer79 / flashlight
  Machine learning explanations
  ☆23Updated last month
• anindyamozumdar / categorical_encoding
  R code to encode categorical features for machine learning
  ☆15Updated 3 years ago
• mfasiolo / qgam
  Additive quantile regression R package
  ☆34Updated last month
• MI2DataLab / ResponsibleML-UseR2021
  Materials for ,,Introduction to Responsible ML at UseR!2021''
  ☆17Updated 3 years ago
• mlr-org / mlr3gallery
  Case studies using mlr3
  ☆22Updated 2 years ago
• ellessenne / rsimsum
  Analysis of simulation studies including Monte Carlo error
  ☆28Updated last year
• Pakillo / Bayes-R-JAGS-intro
  An introduction to hierarchical Bayesian modelling with R, JAGS and STAN
  ☆21Updated 7 years ago
• markusdumke / reinforcelearn
  R Package for Reinforcement Learning
  ☆33Updated 2 years ago
• revodavid / R-at-Microsoft
  R at Microsoft
  ☆19Updated 4 years ago
• smilesun / rlR
  Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
  ☆26Updated 5 years ago
• jessecambon / Data-Science-Sandbox
  Code and resources to serve as a starting point for data science projects.
  ☆21Updated 3 years ago
• robjhyndman / quantile_ensemble_talk
  Ensemble forecasts with fable for NYCR conference
  ☆16Updated 4 years ago
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 3 years ago
• trnnick / nnfor
  ☆30Updated last year
• spsanderson / ts_cci30
  ☆9Updated 3 years ago
• revodavid / mlops-r-gha
  ☆38Updated 4 years ago
• e-sensing / torchopt
  R implementation of advanced optimizers for torch
  ☆26Updated last year
• config-i1 / legion
  Multivariate models for forecasting purposes
  ☆11Updated 3 months ago
• eric-pedersen / mgcv-esa-workshop
  ☆47Updated last year
• DanOvando / learn-stan
  A practical introduction to modeling in Stan
  ☆46Updated 2 years ago
• tidymodels / applicable
  Quantify extrapolation of new samples given a training set
  ☆47Updated last year
• stevenpawley / h2oparsnip
  Model Wrappers for H2O models
  ☆19Updated 2 years ago
• WhyR2020 / workshops
  ☆35Updated 4 years ago
• earowang / tsibbletalk
  Crosstalk between tsibble objects
  ☆28Updated last year
• mayer79 / outForest
  Outlier detection based on random forest models
  ☆13Updated last month
• statnmap / blog_tips
  Comments and complete R script files shared on the blog
  ☆31Updated 5 months ago
• topepo / tidy-apm
  tidymodels code for the book Applied Predictive Modeling
  ☆43Updated 2 years ago
• woobe / useR2019_h2o_tutorial
  useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)
  ☆26Updated 5 years ago
• cran / mgcv
   This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation …
  ☆33Updated last month
• kkholst / lava
  Latent Variable Models in R https://kkholst.github.io/lava/
  ☆33Updated 4 months ago