t-kalinowski / deep-learning-with-R-2nd-edition-code
Code from the book "Deep Learning with R, 2nd Edition"
☆57Updated last year
Alternatives and similar repositories for deep-learning-with-R-2nd-edition-code:
Users that are interested in deep-learning-with-R-2nd-edition-code are comparing it to the libraries listed below
- An interactive table interface for data summaries☆85Updated last year
- R/Pharma 2023 Conference workshop materials.☆82Updated last year
- Deep Learning and Scientific Computing with R torch☆57Updated 10 months ago
- Useless R Functions. That's it☆130Updated last week
- Website and materials for tidymodels workshops☆94Updated 5 months ago
- A tidy unified interface to clustering models☆111Updated 2 weeks ago
- Extra learners for use in mlr3.☆94Updated last week
- Deep R Programming (Open-Access Textbook)☆105Updated last week
- Legacy Source of tidymodels.org☆98Updated last year
- Causal Inference in R Workshop☆192Updated 5 months ago
- rstudio::conf(2020) deep learning workshop☆160Updated 5 years ago
- R package, scripts and documentation supporting R books by Julian Faraway☆30Updated this week
- This repository enumerates all the reasons why R is better than python for DS☆98Updated last year
- ☆171Updated last year
- rstudio::conf-2022 Workshop on Quarto☆97Updated 2 years ago
- R for Excel Users Workshop☆76Updated 4 years ago
- A on data wrangling, exploration, & analysis with R - created by Jenny Bryan, made with bookdown☆152Updated 11 months ago
- My blog, built with blogdown and Hugo☆42Updated 2 months ago
- Auto ML for the tidyverse☆67Updated 9 months ago
- ☆47Updated last year
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆52Updated 3 years ago
- R package to use Google's gemini via API on R☆67Updated last week
- Machine Learning with R, Fourth Edition- published by Packt☆63Updated last year
- ☆85Updated 3 years ago
- Fast multivariate imputation by random forests.☆67Updated 2 months ago
- ☆58Updated 2 years ago
- Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Pres…☆257Updated this week
- Working through "Regression and other stories," one chapter at a time☆52Updated last year
- ☆93Updated 2 years ago
- Materials for ,,Introduction to Responsible ML at UseR!2022''☆15Updated 2 years ago