> For the complete documentation index, see [llms.txt](https://netbook-2.gitbook.io/netbook-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://netbook-2.gitbook.io/netbook-docs/the-basics/components/environments/overview.md).

# Overview

An overview of NetBook Environments

NetBook provides you with some standard ML environments like PyTorch Cuda, PyTorch CPU, Tensorflow GPU, Tensorflow CPU which you can directly use to begin with your data science project without worrying about resolving the dependencies.

With an option to develop custom environments, you can create docker based project environments by either uploading your environment file or by directly linking your code repo to build a coding environment for your use-case.