Alternatives and similar repositories for Deep-Optimization

Users that are interested in Deep-Optimization are comparing it to the libraries listed below

• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆65Updated 5 years ago
• PyLops / pyproximal
  PyProximal – Proximal Operators and Algorithms in Python
  ☆80Updated 2 weeks ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 6 years ago
• lanl / scico
  Scientific Computational Imaging COde
  ☆143Updated last week
• mughanibu / Deep-Learning-for-Inverse-Problems
  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…
  ☆41Updated 8 years ago
• tomgoldstein / fasta-matlab
  A Matlab library for solving optimization problems with forward-backward splitting
  ☆40Updated 6 years ago
• MLI-lab / cs_deep_decoder
  ☆16Updated 5 years ago
• kkothari93 / fionet
  Official repo for "Learning the geometry of wave-based imaging"
  ☆12Updated 4 years ago
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆97Updated 4 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆96Updated 2 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• mmuckley / torchkbnufft
  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
  ☆245Updated last year
• MLI-lab / deep_inverse_book.github.io
  ☆23Updated 2 months ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆64Updated last year
• svvenkatakrishnan / plug-and-play-priors
  An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.
  ☆29Updated 8 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆48Updated 5 years ago
• comp-imaging / ProxImaL
  A domain-specific language for image optimization.
  ☆121Updated last week
• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 4 years ago
• mehrhardt / spdhg
  Stochastic PDHG with Arbitrary Sampling and Imaging Applications
  ☆23Updated 5 years ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆36Updated 6 months ago
• wustl-cig / PnP-MSSN
  A Multiple Self-Similarity Network Based Plug-and-Play Prior for MRI Reconstruction
  ☆14Updated 5 years ago
• odlgroup / odl
  Operator Discretization Library https://odl.readthedocs.io/
  ☆422Updated last week
• TristanvanLeeuwen / IP_and_Im_Lectures
  10 Lectures on Inverse Problems and Imaging
  ☆50Updated 3 months ago
• jnagy1 / IRtools
  MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MA…
  ☆92Updated 3 years ago
• cai4cai / torchsparsegradutils
  A collection of utility functions to work with PyTorch sparse tensors
  ☆33Updated last month
• mpf / spot
  A linear-operator toolbox for Matlab
  ☆65Updated last year
• timothygebhard / pytorch-conv4d
  Rudimentary Conv4D Layer Implementation for PyTorch
  ☆40Updated 6 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆38Updated 3 years ago