Deepinv
Visit Tooldeepinv is an open-source PyTorch library for solving imaging inverse problems using deep learning. It provides a modular framework for research reproducibility and lowers the entry bar for new practitioners.
At a glance
Trending
deepinv is an open-source PyTorch library for solving imaging inverse problems using deep learning. It provides a modular framework for research reproducibility and lowers the entry bar for new practitioners.
Trending
About
deepinv is an open-source PyTorch-based library designed for solving imaging inverse problems with deep learning. It is part of the official PyTorch Ecosystem and aims to accelerate deep learning research across various imaging domains. The library enhances research reproducibility through a common modular framework for problems and algorithms, making it easier for new practitioners to get started. Key features include a large framework of predefined imaging operators, state-of-the-art deep neural networks with pretrained models, comprehensive frameworks for plug-and-play restoration, optimization, and unfolded architectures, as well as training losses for inverse problems. It also supports sampling algorithms, diffusion models for uncertainty quantification, and a framework for building datasets.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending