google-research

Why we included this project

This monorepo holds the code Google Research publishes alongside its papers, and the topics run from vision and language models to optimization, simulation, and medical imaging. It is not a tool you install and run. Each subdirectory is a self-contained research implementation with its own README and dependencies, which makes the repository most useful as a reference: when you want to reproduce a result, see how a technique is actually coded, or borrow a well-tested algorithm for your own experiments, the relevant folder is usually here. The maintainers warn that the repo is huge and recommend shallow-cloning and downloading only the subdirectory you need, so plan to browse by topic rather than treat it as one codebase. For people porting academic ideas into production, it is a deep archive of state-of-the-art implementations.