Alternatives and similar repositories for GBM-intro

Users that are interested in GBM-intro are comparing it to the libraries listed below

• pbiecek / XAIatERUM2020
  Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
  ☆53Updated 4 years ago
• nhs-r-community / shiny-training
  One day Shiny training for health and care analysts
  ☆39Updated 3 years ago
• keithmcnulty / r_and_py_models
  How to run Python ML models in R
  ☆18Updated 4 years ago
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated 2 years ago
• slopp / myhybrid
  Demo of a Reticulated Shiny App, using NREL's FASTSim model to compare vehicle MPGs for a user defined trip.
  ☆61Updated 3 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated 2 years ago
• Vancouver-Datajam / dashboard-workshop-dash
  Workshop material for the Vancouver DataJam
  ☆21Updated 3 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated 2 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 4 years ago
• ModelOriented / ingredients
  Effects and Importances of Model Ingredients
  ☆38Updated 2 years ago
• revodavid / mlops-r-gha
  ☆38Updated 5 years ago
• MangoTheCat / explainable-machine-learning-workshop
  Material for the Explainable Machine Learning Workshop
  ☆18Updated 6 years ago
• WhyR2019 / presentations
  ☆22Updated 6 years ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆127Updated 7 months ago
• Tirgit / missCompare
  missCompare R package - intuitive missing data imputation framework
  ☆39Updated 5 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• dlab-berkeley / Unsupervised-Learning-in-R
  Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
  ☆47Updated 5 years ago
• flor14 / tutorials
  👩‍🏫👨‍🏫🍎 Compilation of free tutorials rstats-python
  ☆25Updated 5 years ago
• mfrasco / Metrics
  An R package for common supervised machine learning metrics.
  ☆102Updated 6 years ago
• Mu-Sigma / analysis-pipelines
  Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as…
  ☆28Updated 5 years ago
• MangoTheCat / python-for-r-users-workshop
  Material for the Python for R Users workshop
  ☆71Updated 7 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 7 years ago
• rstats-wtf / wtf-2020-rsc
  ☆49Updated 3 years ago
• EagerAI / fastai
  R interface to fast.ai
  ☆118Updated 10 months ago
• paulhendricks / anonymizer
  Anonymize data containing Personally Identifiable Information (PII) in R
  ☆77Updated 8 years ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• sol-eng / tensorflow-w-r
  TensorFlow with R
  ☆46Updated 4 years ago
• rlbarter / reproducibility-workflow
  A short and to-the-point summary of a reproducible data science workflow
  ☆58Updated 6 years ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 3 weeks ago