# deepinv

> DeepInverse is the leading open-source PyTorch-based library for solving imaging inverse problems with deep learning. It provides imaging operators, pretrained reconstruction networks and denoisers, plug-and-play and unfolded optimization, sampling algorithms, training losses and datasets.


deepinverse contributors 2026

## Pages in this subsection

- [Utils](https://deepinv.org/user_guide/other/utils.html.md): We provide some plotting functions that are adapted to inverse problems.
- [Math Notation](https://deepinv.org/user_guide/other/notation.html.md): The documentation of `deepinv` uses a unified mathematical notation that is summarized in the follow...
- [Environment Variables](https://deepinv.org/user_guide/other/env_variable.html.md): The following environment variables can be used to configure the behavior of the `deepinv` library:

## Optional

- [Top-level llms.txt](https://deepinv.org/llms.txt): Complete documentation index.