# 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

- [Introduction](https://deepinv.org/user_guide/physics/intro.html.md): This module contains a large collection of forward operators appearing in imaging applications.
- [Operators & Noise](https://deepinv.org/user_guide/physics/physics.html.md): Operators describe the forward model $z = A(x,\theta)$, where
- [Functional](https://deepinv.org/user_guide/physics/functional.html.md): The toolbox is based on efficient PyTorch implementations of basic operations such as diagonal multi...

## Optional

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