Alternatives and similar repositories for sporco-notebooks:

Users that are interested in sporco-notebooks are comparing it to the libraries listed below

• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 3 years ago
• swing-research / deepmesh
  Random Mesh Projectors for Inverse Problems
  ☆24Updated 4 years ago
• VLOGroup / denoising-variationalnetwork
  Implementation of the variational network for denoising.
  ☆17Updated 2 years ago
• mehrhardt / spdhg
  Stochastic PDHG with Arbitrary Sampling and Imaging Applications
  ☆18Updated 5 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆47Updated 5 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆61Updated 4 years ago
• image-science-lab / OneNet
  ☆33Updated 6 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 6 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• tomas-angles / generative-scattering-networks
  ☆28Updated 5 years ago
• gaochen315 / panoramicRPCA
  Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video
  ☆60Updated 5 years ago
• MLI-lab / overparameterized_convolutional_generators
  ☆14Updated 5 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 5 years ago
• comp-imaging / ProxImaL
  A domain-specific language for image optimization.
  ☆117Updated last week
• hcherkaoui / carpet
  Carpet: Neural Net based solver for the 1d-TV problem
  ☆12Updated 4 years ago
• adler-j / wasserstein_inverse_problems
  Code for the article "Learning to solve inverse problems using Wasserstein loss"
  ☆28Updated 7 years ago
• ayanc / learncfa
  Learning Sensor Multiplexing Design through Back-propagation
  ☆15Updated 8 years ago
• ZezhouCheng / GP-DIP
  Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)
  ☆60Updated 5 years ago
• 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…
  ☆40Updated 7 years ago
• permfl / dictlearn
  Dictionary Learning for image processing
  ☆34Updated 4 years ago
• EvZissel / LoBCoD
  An Algorithm for performing pursuit and dictionary update of the Convolutional Sparse Coding (CSC) model
  ☆31Updated 5 years ago
• lunz-s / DeepAdverserialRegulariser
  ☆17Updated 5 years ago
• adler-j / learned_gradient_tomography
  Solving ill-posed inverse problems using iterative deep neural networks
  ☆93Updated 3 years ago
• oracleofnj / spectral-repr-cnns
  Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)
  ☆38Updated 6 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year
• sihan-zeng / f-csrg
  Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"
  ☆10Updated 5 years ago
• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 8 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated 8 months ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆89Updated last year
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago