DeepInverse provides a modular framework for applying deep learning to inverse imaging problems such as deblurring, denoising, super-resolution, and tomography. It includes predefined imaging operators, pretrained reconstruction models, denoisers, and plug-and-play restoration frameworks. The library targets applications in medical imaging, microscopy, and computational imaging, and is part of the official PyTorch Ecosystem.