Operator Discretization Library https://odlgroup.github.io/odl/
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Updated
Aug 14, 2024 - Python
Operator Discretization Library https://odlgroup.github.io/odl/
Tomographic Reconstruction in Python
A set of tools for characterizing and analying 3D images of porous materials
Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods
Computational Tomography in PyTorch
Python based toolkit for Electrical Impedance Tomography
A versatile python framework for tomographic imaging
Learned Primal-Dual Reconstruction
Solving ill-posed inverse problems using iterative deep neural networks
Project for an open-source python library for synthetic diagnostics and tomography for Fusion devices
Seismic imaging at local, regional, and global scale
Self-supervised learning for isotropic cryoET reconstruction
A library for quantum characterization, verification, validation (QCVV), and benchmarking using pyQuil.
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Camera calibration with sub-pixel accuracy: https://discorpy.readthedocs.io/
Numerical techniques for ring artifact removal in tomography https://sarepy.readthedocs.io/
This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.
Data processing algorithms for tomography: https://algotom.readthedocs.io
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
Python package for tomographic data processing and reconstruction
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