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Search results for python inverse problems

inverse-problems x

52 search results found

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

PyLops – A Linear-Operator Library for Python

Operator Discretization Library https://odlgroup.github.io/odl/

Deep learning framework for MRI reconstruction

Probabilistic Inference on Noisy Time Series

Fatiando ⭐ 182

Python toolkit for modeling and inversion in geophysics. DEPRECATED in favor of our newer libraries (see www.fatiando.org)

Harmonica ⭐ 181

Forward modeling, inversion, and processing gravity and magnetic data

Python based toolkit for Electrical Impedance Tomography

Deepinv ⭐ 165

PyTorch library for solving imaging inverse problems using deep learning

Discretize ⭐ 150

Discretization tools for finite volume and inverse problems.

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Idrlnet ⭐ 129

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Openeit ⭐ 127

Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods

SCIRun is a Problem Solving Environment, for modeling, simulation and visualization of scientific problems. This is version 5, the upgraded version of SCIRun v4.

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Diffusion Posterior Sampling ⭐ 103

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

Torch Radon ⭐ 91

Computational Tomography in PyTorch

Scientific Computational Imaging COde

A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset

Self-supervised learning for isotropic cryoET reconstruction

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Learned_primal_dual ⭐ 42

Learned Primal-Dual Reconstruction

Pyproximal ⭐ 40

PyProximal – Proximal Operators and Algorithms in Python

Ccpi Regularisation Toolkit ⭐ 40

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

Learned_gradient_tomography ⭐ 40

Solving ill-posed inverse problems using iterative deep neural networks

Lenslesspicam ⭐ 36

Lensless imaging with a Raspberry Pi. Complete tutorial: https://go.epfl.ch/lenslesspicam

Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.

Ambient Diffusion ⭐ 30

[NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"

Snips_torch ⭐ 30

[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically

Learn_prox_ops ⭐ 25

Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"

Deep Learning For Inverse Problems ⭐ 21

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.

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

Structured Kernel Cvpr23 ⭐ 20

Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)

Wasserstein_inverse_problems ⭐ 18

Code for the article "Learning to solve inverse problems using Wasserstein loss"

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Python for ultrashort laser pulse retrieval

Chaosmagpy ⭐ 15

ChaosMagPy is a simple python package for evaluating the CHAOS geomagnetic field model.

Robust Nets ⭐ 14

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

A collection of inverse design challenges

Pyunfold ⭐ 14

Iterative unfolding for Python

Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...

EPI is a python package for inverse parameter inference

High-Performance Structured Linear Operators

Examples for photonic design and simulation problems using various tools and methods.

Learn and design nanophotonic structures, surface plasmon devices... Using powerful machine learning algorithms(CNN, GBRT, differentiable forest...)

tensorflow implementation for 3D BPConvNet

ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography

Fbpconv_tf ⭐ 7

tensorflow implementation for FBPConvNet

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

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