R Markdown Integrations

CiteDrive is a cloud-first, collaborative, BibTeX-native reference manager designed by and for Overleaf, LaTeX, and R Markdown users. It was designed from the ground up to stay out of your way so you can focus on writing. CiteDrive was born out of a shared desire among our team, friends, and colleagues that managing references felt so cumbersome compared to today's consumer-grade tools and collaborative editors. Worse, there were no really good solutions that were truly designed for LaTeX and R Markdown authors, rather than being an afterthought. CiteDrive continues to focus on refining and simplifying the experience of finding references and citing as you write. After some failed experiments, the first end-to-end solution for Overleaf and R Markdown users was tested in the fall of 2021, and quickly evolved into the platform that exists today.

Write HTML, PDF, ePub, and Kindle books with R Markdown. The bookdown package is an open-source R package that facilitates writing books and long-form articles/reports with R Markdown. Generate printer-ready books and ebooks from R Markdown documents. A markup language easier to learn than LaTeX, and to write elements such as section headers, lists, quotes, figures, tables, and citations. Multiple choices of output formats: PDF, LaTeX, HTML, EPUB, and Word. Possibility of including dynamic graphics and interactive applications (HTML widgets and Shiny apps). Support a wide range of languages: R, C/C++, Python, Fortran, Julia, Shell scripts, and SQL, etc. LaTeX equations, theorems, and proofs work for all output formats. Can be published to GitHub, bookdown.org, and any web servers. Integrated with the RStudio IDE. One-click publishing to https://bookdown.org.

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.