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Search results for inverse problems
inverse-problems
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90 search results found
Reproducible Image Denoising State Of The Art
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1,759
Collection of popular and reproducible image denoising works.
Score_sde
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782
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Score_sde_pytorch
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679
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Simpeg
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449
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Pylops
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380
PyLops – A Linear-Operator Library for Python
Odl
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310
Operator Discretization Library https://odlgroup.github.io/odl/
Learning Python Physics Informed Machine Learning Pinns Deeponets
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297
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Ceviche
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283
🦐 Electromagnetic Simulation + Automatic Differentiation
Direct
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202
Deep learning framework for MRI reconstruction
Pints
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200
Probabilistic Inference on Noisy Time Series
Fatiando
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182
Python toolkit for modeling and inversion in geophysics. DEPRECATED in favor of our newer libraries (see www.fatiando.org)
Harmonica
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181
Forward modeling, inversion, and processing gravity and magnetic data
Diffcloth
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170
Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Deepinv
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165
PyTorch library for solving imaging inverse problems using deep learning
Pyeit
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163
Python based toolkit for Electrical Impedance Tomography
Discretize
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150
Discretization tools for finite volume and inverse problems.
Pde Net
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149
PDE-Net: Learning PDEs from Data
Ddrm
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148
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
Idrlnet
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129
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Openeit
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127
Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods
Aisp
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122
AI Image SIgnal Processing and Computational Photography - Bokeh Rendering @ NTIRE CVPR 2023, AIM 2022 Reversed ISP Challenge @ ECCV, Model-Based Image Signal Processors via Learnable Dictionaries (AAAI 22)
Scirun
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118
SCIRun is a Problem Solving Environment, for modeling, simulation and visualization of scientific problems. This is version 5, the upgraded version of SCIRun v4.
Ylg
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115
[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
Diffusion Posterior Sampling
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103
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Mirt.jl
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98
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
Pyxu
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98
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Torch Radon
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91
Computational Tomography in PyTorch
Scico
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77
Scientific Computational Imaging COde
Globalbioim
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73
A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
Tasmanian
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60
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
Meddlr
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59
A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.
Angler
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57
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
Irtools
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55
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.
Skm Tea
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54
Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset
Isonet
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50
Self-supervised learning for isotropic cryoET reconstruction
Tomobar
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44
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Learned_primal_dual
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42
Learned Primal-Dual Reconstruction
Ccpi Regularisation Toolkit
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40
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Learned_gradient_tomography
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40
Solving ill-posed inverse problems using iterative deep neural networks
Pyproximal
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40
PyProximal – Proximal Operators and Algorithms in Python
Lenslesspicam
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36
Lensless imaging with a Raspberry Pi. Complete tutorial: https://go.epfl.ch/lenslesspicam
Lfmnet
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35
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
Scimlworkshop.jl
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34
Workshop materials for training in scientific computing and scientific machine learning
Snips_torch
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30
[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
Ambient Diffusion
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30
[NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"
Learn_prox_ops
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25
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
Deep Learning For Inverse Problems
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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.
Structured Kernel Cvpr23
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20
Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)
Odmd
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20
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
Gerjoii
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19
Radar and DC resistivity 2.5D multi-physics inversion suite. Forward modeling, separate inversions, joint inversions.
Wasserstein_inverse_problems
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18
Code for the article "Learning to solve inverse problems using Wasserstein loss"
Dl Cs
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17
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning
Pypret
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16
Python for ultrashort laser pulse retrieval
Gaussianmixmcmc_metropolis
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15
Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
Reproducible Video Denoising State Of The Art
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15
Collection of popular and reproducible video denoising works.
Chaosmagpy
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15
ChaosMagPy is a simple python package for evaluating the CHAOS geomagnetic field model.
Robust Nets
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14
Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).
Musc
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14
Learning multiscale convolutional dictionary for image reconstruction
Pyunfold
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14
Iterative unfolding for Python
Gym
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14
A collection of inverse design challenges
Oml
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14
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Epi
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12
EPI is a python package for inverse parameter inference
Pde Estimation
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12
Pytorch code for learning an underlying PDE from given data.
Qmm
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12
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
Framing U Net
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11
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
Pift Paper 2023
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9
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
Glia
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9
GLioblastoma Image Analysis for integrating brain tumor growth models with medical imaging
Indigo
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9
High-Performance Structured Linear Operators
Tomo_tv
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9
C++ library for Regularized 2D and 3D Tomography Reconstructions.
Brainscanner
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8
Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.
3dbpconv
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7
tensorflow implementation for 3D BPConvNet
Metalab
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7
Learn and design nanophotonic structures, surface plasmon devices... Using powerful machine learning algorithms(CNN, GBRT, differentiable forest...)
Phodex
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7
Examples for photonic design and simulation problems using various tools and methods.
Parametriclevelset
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7
Geometric Inverse Problem using Parametric Level-Set
Adjust
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7
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
Interactive Seismology.jl
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7
Computational lab to provide the students with interactive simulations that help them to comprehend the concepts of seismology.
Mc3deconv
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7
Bayeisan inversion to recover Green's functions of receiver-side structures from teleseismic waveforms
Gpp
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7
The Generative Patch Prior for Compressive Image Recovery
Fbpconv_tf
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7
tensorflow implementation for FBPConvNet
Octopus Reel
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6
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interfaces and neuro-feedback applications.
Plug_and_play_admm
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6
A simple Pytorch implementation of plug and play ADMM with examples
Manifold_lifting
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6
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
Low Rank Phase Retrieval
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6
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020..
Regularizationtools.jl
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6
A Julia package to perform Tikhonov regularization for small to moderate size problems.
Us Non Stationary Deconv
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5
A Physical Model of Non-stationary Blur in Ultrasound Imaging
Qab Denoising
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5
Signal and image denoising using quantum adaptive transformation.
Neb
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5
Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
Pde Learning
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5
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces
Qab Pnp Admm Deconvolution
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5
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
Co Vegan
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5
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
1-90 of 90 search results
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